- getAliasInputPort() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
If >= 0, the output is an alias of an input.
- getAliasInputPort() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
If >= 0, the output is an alias of an input.
- getAliasInputPort() - 接口 中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfoOrBuilder
-
If >= 0, the output is an alias of an input.
- getAll() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder
-
.tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All all = 101;
- getAll() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
-
.tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All all = 101;
- getAll() - 接口 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicyOrBuilder
-
.tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All all = 101;
- getAllBuilder() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder
-
.tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All all = 101;
- getAllEndRelMicros() - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
int64 all_end_rel_micros = 5;
- getAllEndRelMicros() - 类 中的方法org.tensorflow.framework.NodeExecStats
-
int64 all_end_rel_micros = 5;
- getAllEndRelMicros() - 接口 中的方法org.tensorflow.framework.NodeExecStatsOrBuilder
-
int64 all_end_rel_micros = 5;
- getAllEndRelNanos() - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
int64 all_end_rel_nanos = 16;
- getAllEndRelNanos() - 类 中的方法org.tensorflow.framework.NodeExecStats
-
int64 all_end_rel_nanos = 16;
- getAllEndRelNanos() - 接口 中的方法org.tensorflow.framework.NodeExecStatsOrBuilder
-
int64 all_end_rel_nanos = 16;
- getAllocatedBytes() - 类 中的方法org.tensorflow.framework.AllocationDescription.Builder
-
Total number of bytes allocated if known
int64 allocated_bytes = 2;
- getAllocatedBytes() - 类 中的方法org.tensorflow.framework.AllocationDescription
-
Total number of bytes allocated if known
int64 allocated_bytes = 2;
- getAllocatedBytes() - 接口 中的方法org.tensorflow.framework.AllocationDescriptionOrBuilder
-
Total number of bytes allocated if known
int64 allocated_bytes = 2;
- getAllocationDescription() - 类 中的方法org.tensorflow.framework.TensorDescription.Builder
-
Information about the size and allocator used for the data
.tensorflow.AllocationDescription allocation_description = 4;
- getAllocationDescription() - 类 中的方法org.tensorflow.framework.TensorDescription
-
Information about the size and allocator used for the data
.tensorflow.AllocationDescription allocation_description = 4;
- getAllocationDescription() - 接口 中的方法org.tensorflow.framework.TensorDescriptionOrBuilder
-
Information about the size and allocator used for the data
.tensorflow.AllocationDescription allocation_description = 4;
- getAllocationDescriptionBuilder() - 类 中的方法org.tensorflow.framework.TensorDescription.Builder
-
Information about the size and allocator used for the data
.tensorflow.AllocationDescription allocation_description = 4;
- getAllocationDescriptionOrBuilder() - 类 中的方法org.tensorflow.framework.TensorDescription.Builder
-
Information about the size and allocator used for the data
.tensorflow.AllocationDescription allocation_description = 4;
- getAllocationDescriptionOrBuilder() - 类 中的方法org.tensorflow.framework.TensorDescription
-
Information about the size and allocator used for the data
.tensorflow.AllocationDescription allocation_description = 4;
- getAllocationDescriptionOrBuilder() - 接口 中的方法org.tensorflow.framework.TensorDescriptionOrBuilder
-
Information about the size and allocator used for the data
.tensorflow.AllocationDescription allocation_description = 4;
- getAllocationId() - 类 中的方法org.tensorflow.framework.AllocationDescription.Builder
-
Identifier of the allocated buffer if known
int64 allocation_id = 4;
- getAllocationId() - 类 中的方法org.tensorflow.framework.AllocationDescription
-
Identifier of the allocated buffer if known
int64 allocation_id = 4;
- getAllocationId() - 接口 中的方法org.tensorflow.framework.AllocationDescriptionOrBuilder
-
Identifier of the allocated buffer if known
int64 allocation_id = 4;
- getAllocationId() - 类 中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Id of the tensor buffer being allocated, used to match to a
corresponding deallocation.
- getAllocationId() - 类 中的方法org.tensorflow.framework.MemoryLogRawAllocation
-
Id of the tensor buffer being allocated, used to match to a
corresponding deallocation.
- getAllocationId() - 接口 中的方法org.tensorflow.framework.MemoryLogRawAllocationOrBuilder
-
Id of the tensor buffer being allocated, used to match to a
corresponding deallocation.
- getAllocationId() - 类 中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
Id of the tensor buffer being deallocated, used to match to a
corresponding allocation.
- getAllocationId() - 类 中的方法org.tensorflow.framework.MemoryLogRawDeallocation
-
Id of the tensor buffer being deallocated, used to match to a
corresponding allocation.
- getAllocationId() - 接口 中的方法org.tensorflow.framework.MemoryLogRawDeallocationOrBuilder
-
Id of the tensor buffer being deallocated, used to match to a
corresponding allocation.
- getAllocationId() - 类 中的方法org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
Id of the tensor buffer being deallocated, used to match to a
corresponding allocation.
- getAllocationId() - 类 中的方法org.tensorflow.framework.MemoryLogTensorDeallocation
-
Id of the tensor buffer being deallocated, used to match to a
corresponding allocation.
- getAllocationId() - 接口 中的方法org.tensorflow.framework.MemoryLogTensorDeallocationOrBuilder
-
Id of the tensor buffer being deallocated, used to match to a
corresponding allocation.
- getAllocationRecords(int) - 类 中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The allocation and deallocation timeline.
- getAllocationRecords(int) - 类 中的方法org.tensorflow.framework.AllocatorMemoryUsed
-
The allocation and deallocation timeline.
- getAllocationRecords(int) - 接口 中的方法org.tensorflow.framework.AllocatorMemoryUsedOrBuilder
-
The allocation and deallocation timeline.
- getAllocationRecordsBuilder(int) - 类 中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The allocation and deallocation timeline.
- getAllocationRecordsBuilderList() - 类 中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The allocation and deallocation timeline.
- getAllocationRecordsCount() - 类 中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The allocation and deallocation timeline.
- getAllocationRecordsCount() - 类 中的方法org.tensorflow.framework.AllocatorMemoryUsed
-
The allocation and deallocation timeline.
- getAllocationRecordsCount() - 接口 中的方法org.tensorflow.framework.AllocatorMemoryUsedOrBuilder
-
The allocation and deallocation timeline.
- getAllocationRecordsList() - 类 中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The allocation and deallocation timeline.
- getAllocationRecordsList() - 类 中的方法org.tensorflow.framework.AllocatorMemoryUsed
-
The allocation and deallocation timeline.
- getAllocationRecordsList() - 接口 中的方法org.tensorflow.framework.AllocatorMemoryUsedOrBuilder
-
The allocation and deallocation timeline.
- getAllocationRecordsOrBuilder(int) - 类 中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The allocation and deallocation timeline.
- getAllocationRecordsOrBuilder(int) - 类 中的方法org.tensorflow.framework.AllocatorMemoryUsed
-
The allocation and deallocation timeline.
- getAllocationRecordsOrBuilder(int) - 接口 中的方法org.tensorflow.framework.AllocatorMemoryUsedOrBuilder
-
The allocation and deallocation timeline.
- getAllocationRecordsOrBuilderList() - 类 中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The allocation and deallocation timeline.
- getAllocationRecordsOrBuilderList() - 类 中的方法org.tensorflow.framework.AllocatorMemoryUsed
-
The allocation and deallocation timeline.
- getAllocationRecordsOrBuilderList() - 接口 中的方法org.tensorflow.framework.AllocatorMemoryUsedOrBuilder
-
The allocation and deallocation timeline.
- getAllocatorBytesInUse() - 类 中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
These are snapshots of the overall allocator memory stats.
- getAllocatorBytesInUse() - 类 中的方法org.tensorflow.framework.AllocatorMemoryUsed
-
These are snapshots of the overall allocator memory stats.
- getAllocatorBytesInUse() - 接口 中的方法org.tensorflow.framework.AllocatorMemoryUsedOrBuilder
-
These are snapshots of the overall allocator memory stats.
- getAllocatorName() - 类 中的方法org.tensorflow.framework.AllocationDescription.Builder
-
Name of the allocator used
string allocator_name = 3;
- getAllocatorName() - 类 中的方法org.tensorflow.framework.AllocationDescription
-
Name of the allocator used
string allocator_name = 3;
- getAllocatorName() - 接口 中的方法org.tensorflow.framework.AllocationDescriptionOrBuilder
-
Name of the allocator used
string allocator_name = 3;
- getAllocatorName() - 类 中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
string allocator_name = 1;
- getAllocatorName() - 类 中的方法org.tensorflow.framework.AllocatorMemoryUsed
-
string allocator_name = 1;
- getAllocatorName() - 接口 中的方法org.tensorflow.framework.AllocatorMemoryUsedOrBuilder
-
string allocator_name = 1;
- getAllocatorName() - 类 中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Name of the allocator used.
- getAllocatorName() - 类 中的方法org.tensorflow.framework.MemoryLogRawAllocation
-
Name of the allocator used.
- getAllocatorName() - 接口 中的方法org.tensorflow.framework.MemoryLogRawAllocationOrBuilder
-
Name of the allocator used.
- getAllocatorName() - 类 中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
Name of the allocator used.
- getAllocatorName() - 类 中的方法org.tensorflow.framework.MemoryLogRawDeallocation
-
Name of the allocator used.
- getAllocatorName() - 接口 中的方法org.tensorflow.framework.MemoryLogRawDeallocationOrBuilder
-
Name of the allocator used.
- getAllocatorName() - 类 中的方法org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
Name of the allocator used.
- getAllocatorName() - 类 中的方法org.tensorflow.framework.MemoryLogTensorDeallocation
-
Name of the allocator used.
- getAllocatorName() - 接口 中的方法org.tensorflow.framework.MemoryLogTensorDeallocationOrBuilder
-
Name of the allocator used.
- getAllocatorNameBytes() - 类 中的方法org.tensorflow.framework.AllocationDescription.Builder
-
Name of the allocator used
string allocator_name = 3;
- getAllocatorNameBytes() - 类 中的方法org.tensorflow.framework.AllocationDescription
-
Name of the allocator used
string allocator_name = 3;
- getAllocatorNameBytes() - 接口 中的方法org.tensorflow.framework.AllocationDescriptionOrBuilder
-
Name of the allocator used
string allocator_name = 3;
- getAllocatorNameBytes() - 类 中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
string allocator_name = 1;
- getAllocatorNameBytes() - 类 中的方法org.tensorflow.framework.AllocatorMemoryUsed
-
string allocator_name = 1;
- getAllocatorNameBytes() - 接口 中的方法org.tensorflow.framework.AllocatorMemoryUsedOrBuilder
-
string allocator_name = 1;
- getAllocatorNameBytes() - 类 中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Name of the allocator used.
- getAllocatorNameBytes() - 类 中的方法org.tensorflow.framework.MemoryLogRawAllocation
-
Name of the allocator used.
- getAllocatorNameBytes() - 接口 中的方法org.tensorflow.framework.MemoryLogRawAllocationOrBuilder
-
Name of the allocator used.
- getAllocatorNameBytes() - 类 中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
Name of the allocator used.
- getAllocatorNameBytes() - 类 中的方法org.tensorflow.framework.MemoryLogRawDeallocation
-
Name of the allocator used.
- getAllocatorNameBytes() - 接口 中的方法org.tensorflow.framework.MemoryLogRawDeallocationOrBuilder
-
Name of the allocator used.
- getAllocatorNameBytes() - 类 中的方法org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
Name of the allocator used.
- getAllocatorNameBytes() - 类 中的方法org.tensorflow.framework.MemoryLogTensorDeallocation
-
Name of the allocator used.
- getAllocatorNameBytes() - 接口 中的方法org.tensorflow.framework.MemoryLogTensorDeallocationOrBuilder
-
Name of the allocator used.
- getAllocatorType() - 类 中的方法org.tensorflow.framework.GPUOptions.Builder
-
The type of GPU allocation strategy to use.
- getAllocatorType() - 类 中的方法org.tensorflow.framework.GPUOptions
-
The type of GPU allocation strategy to use.
- getAllocatorType() - 接口 中的方法org.tensorflow.framework.GPUOptionsOrBuilder
-
The type of GPU allocation strategy to use.
- getAllocatorTypeBytes() - 类 中的方法org.tensorflow.framework.GPUOptions.Builder
-
The type of GPU allocation strategy to use.
- getAllocatorTypeBytes() - 类 中的方法org.tensorflow.framework.GPUOptions
-
The type of GPU allocation strategy to use.
- getAllocatorTypeBytes() - 接口 中的方法org.tensorflow.framework.GPUOptionsOrBuilder
-
The type of GPU allocation strategy to use.
- getAllocBytes() - 类 中的方法org.tensorflow.framework.AllocationRecord.Builder
-
Number of bytes allocated, or de-allocated if negative.
- getAllocBytes() - 类 中的方法org.tensorflow.framework.AllocationRecord
-
Number of bytes allocated, or de-allocated if negative.
- getAllocBytes() - 接口 中的方法org.tensorflow.framework.AllocationRecordOrBuilder
-
Number of bytes allocated, or de-allocated if negative.
- getAllocMicros() - 类 中的方法org.tensorflow.framework.AllocationRecord.Builder
-
The timestamp of the operation.
- getAllocMicros() - 类 中的方法org.tensorflow.framework.AllocationRecord
-
The timestamp of the operation.
- getAllocMicros() - 接口 中的方法org.tensorflow.framework.AllocationRecordOrBuilder
-
The timestamp of the operation.
- getAllOrBuilder() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder
-
.tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All all = 101;
- getAllOrBuilder() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
-
.tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All all = 101;
- getAllOrBuilder() - 接口 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicyOrBuilder
-
.tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All all = 101;
- getAllowedValues() - 类 中的方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
A list of values that this kernel supports for this attr.
- getAllowedValues() - 类 中的方法org.tensorflow.framework.KernelDef.AttrConstraint
-
A list of values that this kernel supports for this attr.
- getAllowedValues() - 接口 中的方法org.tensorflow.framework.KernelDef.AttrConstraintOrBuilder
-
A list of values that this kernel supports for this attr.
- getAllowedValues() - 类 中的方法org.tensorflow.framework.OpDef.AttrDef.Builder
-
The set of allowed values.
- getAllowedValues() - 类 中的方法org.tensorflow.framework.OpDef.AttrDef
-
The set of allowed values.
- getAllowedValues() - 接口 中的方法org.tensorflow.framework.OpDef.AttrDefOrBuilder
-
The set of allowed values.
- getAllowedValuesBuilder() - 类 中的方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
A list of values that this kernel supports for this attr.
- getAllowedValuesBuilder() - 类 中的方法org.tensorflow.framework.OpDef.AttrDef.Builder
-
The set of allowed values.
- getAllowedValuesOrBuilder() - 类 中的方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
A list of values that this kernel supports for this attr.
- getAllowedValuesOrBuilder() - 类 中的方法org.tensorflow.framework.KernelDef.AttrConstraint
-
A list of values that this kernel supports for this attr.
- getAllowedValuesOrBuilder() - 接口 中的方法org.tensorflow.framework.KernelDef.AttrConstraintOrBuilder
-
A list of values that this kernel supports for this attr.
- getAllowedValuesOrBuilder() - 类 中的方法org.tensorflow.framework.OpDef.AttrDef.Builder
-
The set of allowed values.
- getAllowedValuesOrBuilder() - 类 中的方法org.tensorflow.framework.OpDef.AttrDef
-
The set of allowed values.
- getAllowedValuesOrBuilder() - 接口 中的方法org.tensorflow.framework.OpDef.AttrDefOrBuilder
-
The set of allowed values.
- getAllowGrowth() - 类 中的方法org.tensorflow.framework.GPUOptions.Builder
-
If true, the allocator does not pre-allocate the entire specified
GPU memory region, instead starting small and growing as needed.
- getAllowGrowth() - 类 中的方法org.tensorflow.framework.GPUOptions
-
If true, the allocator does not pre-allocate the entire specified
GPU memory region, instead starting small and growing as needed.
- getAllowGrowth() - 接口 中的方法org.tensorflow.framework.GPUOptionsOrBuilder
-
If true, the allocator does not pre-allocate the entire specified
GPU memory region, instead starting small and growing as needed.
- getAllowSoftPlacement() - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
Whether soft placement is allowed.
- getAllowSoftPlacement() - 类 中的方法org.tensorflow.framework.ConfigProto
-
Whether soft placement is allowed.
- getAllowSoftPlacement() - 接口 中的方法org.tensorflow.framework.ConfigProtoOrBuilder
-
Whether soft placement is allowed.
- getAllowsUninitializedInput() - 类 中的方法org.tensorflow.framework.OpDef.Builder
-
By default, all inputs to an Op must be initialized Tensors.
- getAllowsUninitializedInput() - 类 中的方法org.tensorflow.framework.OpDef
-
By default, all inputs to an Op must be initialized Tensors.
- getAllowsUninitializedInput() - 接口 中的方法org.tensorflow.framework.OpDefOrBuilder
-
By default, all inputs to an Op must be initialized Tensors.
- getAllStartMicros() - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
int64 all_start_micros = 2;
- getAllStartMicros() - 类 中的方法org.tensorflow.framework.NodeExecStats
-
int64 all_start_micros = 2;
- getAllStartMicros() - 接口 中的方法org.tensorflow.framework.NodeExecStatsOrBuilder
-
int64 all_start_micros = 2;
- getAllStartNanos() - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
int64 all_start_nanos = 13;
- getAllStartNanos() - 类 中的方法org.tensorflow.framework.NodeExecStats
-
int64 all_start_nanos = 13;
- getAllStartNanos() - 接口 中的方法org.tensorflow.framework.NodeExecStatsOrBuilder
-
int64 all_start_nanos = 13;
- getAnyInfo() - 类 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
A serialized protobuf.
- getAnyInfo() - 类 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
A serialized protobuf.
- getAnyInfo() - 接口 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder
-
A serialized protobuf.
- getAnyInfoBuilder() - 类 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
A serialized protobuf.
- getAnyInfoOrBuilder() - 类 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
A serialized protobuf.
- getAnyInfoOrBuilder() - 类 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
A serialized protobuf.
- getAnyInfoOrBuilder() - 接口 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder
-
A serialized protobuf.
- getAnyList() - 类 中的方法org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.AnyList any_list = 5;
- getAnyList() - 类 中的方法org.tensorflow.framework.CollectionDef
-
.tensorflow.CollectionDef.AnyList any_list = 5;
- getAnyList() - 接口 中的方法org.tensorflow.framework.CollectionDefOrBuilder
-
.tensorflow.CollectionDef.AnyList any_list = 5;
- getAnyListBuilder() - 类 中的方法org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.AnyList any_list = 5;
- getAnyListOrBuilder() - 类 中的方法org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.AnyList any_list = 5;
- getAnyListOrBuilder() - 类 中的方法org.tensorflow.framework.CollectionDef
-
.tensorflow.CollectionDef.AnyList any_list = 5;
- getAnyListOrBuilder() - 接口 中的方法org.tensorflow.framework.CollectionDefOrBuilder
-
.tensorflow.CollectionDef.AnyList any_list = 5;
- getArgOrder(int) - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
List of original in_arg names to specify new argument order.
- getArgOrder(int) - 类 中的方法org.tensorflow.framework.ApiDef
-
List of original in_arg names to specify new argument order.
- getArgOrder(int) - 接口 中的方法org.tensorflow.framework.ApiDefOrBuilder
-
List of original in_arg names to specify new argument order.
- getArgOrderBytes(int) - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
List of original in_arg names to specify new argument order.
- getArgOrderBytes(int) - 类 中的方法org.tensorflow.framework.ApiDef
-
List of original in_arg names to specify new argument order.
- getArgOrderBytes(int) - 接口 中的方法org.tensorflow.framework.ApiDefOrBuilder
-
List of original in_arg names to specify new argument order.
- getArgOrderCount() - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
List of original in_arg names to specify new argument order.
- getArgOrderCount() - 类 中的方法org.tensorflow.framework.ApiDef
-
List of original in_arg names to specify new argument order.
- getArgOrderCount() - 接口 中的方法org.tensorflow.framework.ApiDefOrBuilder
-
List of original in_arg names to specify new argument order.
- getArgOrderList() - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
List of original in_arg names to specify new argument order.
- getArgOrderList() - 类 中的方法org.tensorflow.framework.ApiDef
-
List of original in_arg names to specify new argument order.
- getArgOrderList() - 接口 中的方法org.tensorflow.framework.ApiDefOrBuilder
-
List of original in_arg names to specify new argument order.
- getArithmeticOptimization() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
Arithmetic optimizations (default is ON)
e.g.
- getArithmeticOptimization() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
Arithmetic optimizations (default is ON)
e.g.
- getArithmeticOptimization() - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
Arithmetic optimizations (default is ON)
e.g.
- getArithmeticOptimizationValue() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
Arithmetic optimizations (default is ON)
e.g.
- getArithmeticOptimizationValue() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
Arithmetic optimizations (default is ON)
e.g.
- getArithmeticOptimizationValue() - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
Arithmetic optimizations (default is ON)
e.g.
- getAssetFileDef(int) - 类 中的方法org.tensorflow.framework.MetaGraphDef.Builder
-
Asset file def to be used with the defined graph.
- getAssetFileDef(int) - 类 中的方法org.tensorflow.framework.MetaGraphDef
-
Asset file def to be used with the defined graph.
- getAssetFileDef(int) - 接口 中的方法org.tensorflow.framework.MetaGraphDefOrBuilder
-
Asset file def to be used with the defined graph.
- getAssetFileDefBuilder(int) - 类 中的方法org.tensorflow.framework.MetaGraphDef.Builder
-
Asset file def to be used with the defined graph.
- getAssetFileDefBuilderList() - 类 中的方法org.tensorflow.framework.MetaGraphDef.Builder
-
Asset file def to be used with the defined graph.
- getAssetFileDefCount() - 类 中的方法org.tensorflow.framework.MetaGraphDef.Builder
-
Asset file def to be used with the defined graph.
- getAssetFileDefCount() - 类 中的方法org.tensorflow.framework.MetaGraphDef
-
Asset file def to be used with the defined graph.
- getAssetFileDefCount() - 接口 中的方法org.tensorflow.framework.MetaGraphDefOrBuilder
-
Asset file def to be used with the defined graph.
- getAssetFileDefList() - 类 中的方法org.tensorflow.framework.MetaGraphDef.Builder
-
Asset file def to be used with the defined graph.
- getAssetFileDefList() - 类 中的方法org.tensorflow.framework.MetaGraphDef
-
Asset file def to be used with the defined graph.
- getAssetFileDefList() - 接口 中的方法org.tensorflow.framework.MetaGraphDefOrBuilder
-
Asset file def to be used with the defined graph.
- getAssetFileDefOrBuilder(int) - 类 中的方法org.tensorflow.framework.MetaGraphDef.Builder
-
Asset file def to be used with the defined graph.
- getAssetFileDefOrBuilder(int) - 类 中的方法org.tensorflow.framework.MetaGraphDef
-
Asset file def to be used with the defined graph.
- getAssetFileDefOrBuilder(int) - 接口 中的方法org.tensorflow.framework.MetaGraphDefOrBuilder
-
Asset file def to be used with the defined graph.
- getAssetFileDefOrBuilderList() - 类 中的方法org.tensorflow.framework.MetaGraphDef.Builder
-
Asset file def to be used with the defined graph.
- getAssetFileDefOrBuilderList() - 类 中的方法org.tensorflow.framework.MetaGraphDef
-
Asset file def to be used with the defined graph.
- getAssetFileDefOrBuilderList() - 接口 中的方法org.tensorflow.framework.MetaGraphDefOrBuilder
-
Asset file def to be used with the defined graph.
- getAsync() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
-
Whether the ops on the worker should be executed synchronously or
asynchronously.
- getAsync() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
-
Whether the ops on the worker should be executed synchronously or
asynchronously.
- getAsync() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequestOrBuilder
-
Whether the ops on the worker should be executed synchronously or
asynchronously.
- getAttr(int) - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttr(int) - 类 中的方法org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttr(int) - 接口 中的方法org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttr() - 类 中的方法org.tensorflow.framework.FunctionDef.Builder
-
已过时。
- getAttr() - 类 中的方法org.tensorflow.framework.FunctionDef
-
已过时。
- getAttr() - 接口 中的方法org.tensorflow.framework.FunctionDefOrBuilder
-
已过时。
- getAttr() - 类 中的方法org.tensorflow.framework.NameAttrList.Builder
-
已过时。
- getAttr() - 类 中的方法org.tensorflow.framework.NameAttrList
-
已过时。
- getAttr() - 接口 中的方法org.tensorflow.framework.NameAttrListOrBuilder
-
已过时。
- getAttr() - 类 中的方法org.tensorflow.framework.NodeDef.Builder
-
已过时。
- getAttr() - 类 中的方法org.tensorflow.framework.NodeDef
-
已过时。
- getAttr() - 接口 中的方法org.tensorflow.framework.NodeDefOrBuilder
-
已过时。
- getAttr(int) - 类 中的方法org.tensorflow.framework.OpDef.Builder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttr(int) - 类 中的方法org.tensorflow.framework.OpDef
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttr(int) - 接口 中的方法org.tensorflow.framework.OpDefOrBuilder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrBuilder(int) - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrBuilder(int) - 类 中的方法org.tensorflow.framework.OpDef.Builder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrBuilderList() - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrBuilderList() - 类 中的方法org.tensorflow.framework.OpDef.Builder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrCount() - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrCount() - 类 中的方法org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrCount() - 接口 中的方法org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrCount() - 类 中的方法org.tensorflow.framework.FunctionDef.Builder
-
- getAttrCount() - 类 中的方法org.tensorflow.framework.FunctionDef
-
- getAttrCount() - 接口 中的方法org.tensorflow.framework.FunctionDefOrBuilder
-
Attributes specific to this function definition.
- getAttrCount() - 类 中的方法org.tensorflow.framework.NameAttrList.Builder
-
- getAttrCount() - 类 中的方法org.tensorflow.framework.NameAttrList
-
- getAttrCount() - 接口 中的方法org.tensorflow.framework.NameAttrListOrBuilder
-
map<string, .tensorflow.AttrValue> attr = 2;
- getAttrCount() - 类 中的方法org.tensorflow.framework.NodeDef.Builder
-
- getAttrCount() - 类 中的方法org.tensorflow.framework.NodeDef
-
- getAttrCount() - 接口 中的方法org.tensorflow.framework.NodeDefOrBuilder
-
Operation-specific graph-construction-time configuration.
- getAttrCount() - 类 中的方法org.tensorflow.framework.OpDef.Builder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrCount() - 类 中的方法org.tensorflow.framework.OpDef
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrCount() - 接口 中的方法org.tensorflow.framework.OpDefOrBuilder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttributes(int) - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Serialized data specific to this object.
- getAttributes(int) - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
Serialized data specific to this object.
- getAttributes(int) - 接口 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder
-
Serialized data specific to this object.
- getAttributesBuilder(int) - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Serialized data specific to this object.
- getAttributesBuilderList() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Serialized data specific to this object.
- getAttributesCount() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Serialized data specific to this object.
- getAttributesCount() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
Serialized data specific to this object.
- getAttributesCount() - 接口 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder
-
Serialized data specific to this object.
- getAttributesList() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Serialized data specific to this object.
- getAttributesList() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
Serialized data specific to this object.
- getAttributesList() - 接口 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder
-
Serialized data specific to this object.
- getAttributesOrBuilder(int) - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Serialized data specific to this object.
- getAttributesOrBuilder(int) - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
Serialized data specific to this object.
- getAttributesOrBuilder(int) - 接口 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder
-
Serialized data specific to this object.
- getAttributesOrBuilderList() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Serialized data specific to this object.
- getAttributesOrBuilderList() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
Serialized data specific to this object.
- getAttributesOrBuilderList() - 接口 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder
-
Serialized data specific to this object.
- getAttrList() - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrList() - 类 中的方法org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrList() - 接口 中的方法org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrList() - 类 中的方法org.tensorflow.framework.OpDef.Builder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrList() - 类 中的方法org.tensorflow.framework.OpDef
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrList() - 接口 中的方法org.tensorflow.framework.OpDefOrBuilder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrMap() - 类 中的方法org.tensorflow.framework.FunctionDef.Builder
-
Attributes specific to this function definition.
- getAttrMap() - 类 中的方法org.tensorflow.framework.FunctionDef
-
Attributes specific to this function definition.
- getAttrMap() - 接口 中的方法org.tensorflow.framework.FunctionDefOrBuilder
-
Attributes specific to this function definition.
- getAttrMap() - 类 中的方法org.tensorflow.framework.NameAttrList.Builder
-
map<string, .tensorflow.AttrValue> attr = 2;
- getAttrMap() - 类 中的方法org.tensorflow.framework.NameAttrList
-
map<string, .tensorflow.AttrValue> attr = 2;
- getAttrMap() - 接口 中的方法org.tensorflow.framework.NameAttrListOrBuilder
-
map<string, .tensorflow.AttrValue> attr = 2;
- getAttrMap() - 类 中的方法org.tensorflow.framework.NodeDef.Builder
-
Operation-specific graph-construction-time configuration.
- getAttrMap() - 类 中的方法org.tensorflow.framework.NodeDef
-
Operation-specific graph-construction-time configuration.
- getAttrMap() - 接口 中的方法org.tensorflow.framework.NodeDefOrBuilder
-
Operation-specific graph-construction-time configuration.
- getAttrOrBuilder(int) - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrOrBuilder(int) - 类 中的方法org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrOrBuilder(int) - 接口 中的方法org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrOrBuilder(int) - 类 中的方法org.tensorflow.framework.OpDef.Builder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrOrBuilder(int) - 类 中的方法org.tensorflow.framework.OpDef
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrOrBuilder(int) - 接口 中的方法org.tensorflow.framework.OpDefOrBuilder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrOrBuilderList() - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrOrBuilderList() - 类 中的方法org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrOrBuilderList() - 接口 中的方法org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrOrBuilderList() - 类 中的方法org.tensorflow.framework.OpDef.Builder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrOrBuilderList() - 类 中的方法org.tensorflow.framework.OpDef
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrOrBuilderList() - 接口 中的方法org.tensorflow.framework.OpDefOrBuilder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrOrDefault(String, AttrValue) - 类 中的方法org.tensorflow.framework.FunctionDef.Builder
-
Attributes specific to this function definition.
- getAttrOrDefault(String, AttrValue) - 类 中的方法org.tensorflow.framework.FunctionDef
-
Attributes specific to this function definition.
- getAttrOrDefault(String, AttrValue) - 接口 中的方法org.tensorflow.framework.FunctionDefOrBuilder
-
Attributes specific to this function definition.
- getAttrOrDefault(String, AttrValue) - 类 中的方法org.tensorflow.framework.NameAttrList.Builder
-
map<string, .tensorflow.AttrValue> attr = 2;
- getAttrOrDefault(String, AttrValue) - 类 中的方法org.tensorflow.framework.NameAttrList
-
map<string, .tensorflow.AttrValue> attr = 2;
- getAttrOrDefault(String, AttrValue) - 接口 中的方法org.tensorflow.framework.NameAttrListOrBuilder
-
map<string, .tensorflow.AttrValue> attr = 2;
- getAttrOrDefault(String, AttrValue) - 类 中的方法org.tensorflow.framework.NodeDef.Builder
-
Operation-specific graph-construction-time configuration.
- getAttrOrDefault(String, AttrValue) - 类 中的方法org.tensorflow.framework.NodeDef
-
Operation-specific graph-construction-time configuration.
- getAttrOrDefault(String, AttrValue) - 接口 中的方法org.tensorflow.framework.NodeDefOrBuilder
-
Operation-specific graph-construction-time configuration.
- getAttrOrThrow(String) - 类 中的方法org.tensorflow.framework.FunctionDef.Builder
-
Attributes specific to this function definition.
- getAttrOrThrow(String) - 类 中的方法org.tensorflow.framework.FunctionDef
-
Attributes specific to this function definition.
- getAttrOrThrow(String) - 接口 中的方法org.tensorflow.framework.FunctionDefOrBuilder
-
Attributes specific to this function definition.
- getAttrOrThrow(String) - 类 中的方法org.tensorflow.framework.NameAttrList.Builder
-
map<string, .tensorflow.AttrValue> attr = 2;
- getAttrOrThrow(String) - 类 中的方法org.tensorflow.framework.NameAttrList
-
map<string, .tensorflow.AttrValue> attr = 2;
- getAttrOrThrow(String) - 接口 中的方法org.tensorflow.framework.NameAttrListOrBuilder
-
map<string, .tensorflow.AttrValue> attr = 2;
- getAttrOrThrow(String) - 类 中的方法org.tensorflow.framework.NodeDef.Builder
-
Operation-specific graph-construction-time configuration.
- getAttrOrThrow(String) - 类 中的方法org.tensorflow.framework.NodeDef
-
Operation-specific graph-construction-time configuration.
- getAttrOrThrow(String) - 接口 中的方法org.tensorflow.framework.NodeDefOrBuilder
-
Operation-specific graph-construction-time configuration.
- getAttrs() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
已过时。
- getAttrs() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation
-
已过时。
- getAttrs() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder
-
已过时。
- getAttrsCount() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
- getAttrsCount() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation
-
- getAttrsCount() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder
-
map<string, .tensorflow.AttrValue> attrs = 5;
- getAttrsMap() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
map<string, .tensorflow.AttrValue> attrs = 5;
- getAttrsMap() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation
-
map<string, .tensorflow.AttrValue> attrs = 5;
- getAttrsMap() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder
-
map<string, .tensorflow.AttrValue> attrs = 5;
- getAttrsOrDefault(String, AttrValue) - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
map<string, .tensorflow.AttrValue> attrs = 5;
- getAttrsOrDefault(String, AttrValue) - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation
-
map<string, .tensorflow.AttrValue> attrs = 5;
- getAttrsOrDefault(String, AttrValue) - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder
-
map<string, .tensorflow.AttrValue> attrs = 5;
- getAttrsOrThrow(String) - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
map<string, .tensorflow.AttrValue> attrs = 5;
- getAttrsOrThrow(String) - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation
-
map<string, .tensorflow.AttrValue> attrs = 5;
- getAttrsOrThrow(String) - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder
-
map<string, .tensorflow.AttrValue> attrs = 5;
- getAudio() - 类 中的方法org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.Summary.Audio audio = 6;
- getAudio() - 类 中的方法org.tensorflow.framework.Summary.Value
-
.tensorflow.Summary.Audio audio = 6;
- getAudio() - 接口 中的方法org.tensorflow.framework.Summary.ValueOrBuilder
-
.tensorflow.Summary.Audio audio = 6;
- getAudioBuilder() - 类 中的方法org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.Summary.Audio audio = 6;
- getAudioOrBuilder() - 类 中的方法org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.Summary.Audio audio = 6;
- getAudioOrBuilder() - 类 中的方法org.tensorflow.framework.Summary.Value
-
.tensorflow.Summary.Audio audio = 6;
- getAudioOrBuilder() - 接口 中的方法org.tensorflow.framework.Summary.ValueOrBuilder
-
.tensorflow.Summary.Audio audio = 6;
- getAutoParallel() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
Configures AutoParallel optimization passes either through the
meta-optimizer or when manually specified through the optimizers field.
- getAutoParallel() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
Configures AutoParallel optimization passes either through the
meta-optimizer or when manually specified through the optimizers field.
- getAutoParallel() - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
Configures AutoParallel optimization passes either through the
meta-optimizer or when manually specified through the optimizers field.
- getAutoParallelBuilder() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
Configures AutoParallel optimization passes either through the
meta-optimizer or when manually specified through the optimizers field.
- getAutoParallelOrBuilder() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
Configures AutoParallel optimization passes either through the
meta-optimizer or when manually specified through the optimizers field.
- getAutoParallelOrBuilder() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
Configures AutoParallel optimization passes either through the
meta-optimizer or when manually specified through the optimizers field.
- getAutoParallelOrBuilder() - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
Configures AutoParallel optimization passes either through the
meta-optimizer or when manually specified through the optimizers field.
- getB() - 类 中的方法org.tensorflow.framework.AttrValue.Builder
-
"bool"
bool b = 5;
- getB() - 类 中的方法org.tensorflow.framework.AttrValue
-
"bool"
bool b = 5;
- getB(int) - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(bool)"
repeated bool b = 5 [packed = true];
- getB(int) - 类 中的方法org.tensorflow.framework.AttrValue.ListValue
-
"list(bool)"
repeated bool b = 5 [packed = true];
- getB(int) - 接口 中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(bool)"
repeated bool b = 5 [packed = true];
- getB() - 接口 中的方法org.tensorflow.framework.AttrValueOrBuilder
-
"bool"
bool b = 5;
- getBackProp() - 类 中的方法org.tensorflow.framework.WhileContextDef.Builder
-
Whether backprop is enabled for this while loop.
- getBackProp() - 类 中的方法org.tensorflow.framework.WhileContextDef
-
Whether backprop is enabled for this while loop.
- getBackProp() - 接口 中的方法org.tensorflow.framework.WhileContextDefOrBuilder
-
Whether backprop is enabled for this while loop.
- getBadConsumers(int) - 类 中的方法org.tensorflow.framework.VersionDef.Builder
-
Specific consumer versions which are disallowed (e.g. due to bugs).
- getBadConsumers(int) - 类 中的方法org.tensorflow.framework.VersionDef
-
Specific consumer versions which are disallowed (e.g. due to bugs).
- getBadConsumers(int) - 接口 中的方法org.tensorflow.framework.VersionDefOrBuilder
-
Specific consumer versions which are disallowed (e.g. due to bugs).
- getBadConsumersCount() - 类 中的方法org.tensorflow.framework.VersionDef.Builder
-
Specific consumer versions which are disallowed (e.g. due to bugs).
- getBadConsumersCount() - 类 中的方法org.tensorflow.framework.VersionDef
-
Specific consumer versions which are disallowed (e.g. due to bugs).
- getBadConsumersCount() - 接口 中的方法org.tensorflow.framework.VersionDefOrBuilder
-
Specific consumer versions which are disallowed (e.g. due to bugs).
- getBadConsumersList() - 类 中的方法org.tensorflow.framework.VersionDef.Builder
-
Specific consumer versions which are disallowed (e.g. due to bugs).
- getBadConsumersList() - 类 中的方法org.tensorflow.framework.VersionDef
-
Specific consumer versions which are disallowed (e.g. due to bugs).
- getBadConsumersList() - 接口 中的方法org.tensorflow.framework.VersionDefOrBuilder
-
Specific consumer versions which are disallowed (e.g. due to bugs).
- getBandwidth() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Memory bandwidth in KB/s
int64 bandwidth = 13;
- getBandwidth() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties
-
Memory bandwidth in KB/s
int64 bandwidth = 13;
- getBandwidth() - 接口 中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
Memory bandwidth in KB/s
int64 bandwidth = 13;
- getBasePath() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder
-
已过时。
- getBasePath() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
-
已过时。
- getBasePath() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder
-
The path to monitor, i.e. look for child paths of the form base_path/123.
- getBasePath() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
-
The path to monitor, i.e. look for child paths of the form base_path/123.
- getBasePath() - 接口 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitorOrBuilder
-
The path to monitor, i.e. look for child paths of the form base_path/123.
- getBasePath() - 接口 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfigOrBuilder
-
已过时。
- getBasePath() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder
-
Base path to the model, excluding the version directory.
- getBasePath() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
-
Base path to the model, excluding the version directory.
- getBasePath() - 接口 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigOrBuilder
-
Base path to the model, excluding the version directory.
- getBasePathBytes() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder
-
已过时。
- getBasePathBytes() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
-
已过时。
- getBasePathBytes() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder
-
The path to monitor, i.e. look for child paths of the form base_path/123.
- getBasePathBytes() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
-
The path to monitor, i.e. look for child paths of the form base_path/123.
- getBasePathBytes() - 接口 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitorOrBuilder
-
The path to monitor, i.e. look for child paths of the form base_path/123.
- getBasePathBytes() - 接口 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfigOrBuilder
-
已过时。
- getBasePathBytes() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder
-
Base path to the model, excluding the version directory.
- getBasePathBytes() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
-
Base path to the model, excluding the version directory.
- getBasePathBytes() - 接口 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigOrBuilder
-
Base path to the model, excluding the version directory.
- getBCount() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(bool)"
repeated bool b = 5 [packed = true];
- getBCount() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue
-
"list(bool)"
repeated bool b = 5 [packed = true];
- getBCount() - 接口 中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(bool)"
repeated bool b = 5 [packed = true];
- getBList() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(bool)"
repeated bool b = 5 [packed = true];
- getBList() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue
-
"list(bool)"
repeated bool b = 5 [packed = true];
- getBList() - 接口 中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(bool)"
repeated bool b = 5 [packed = true];
- getBoolVal(int) - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_BOOL
repeated bool bool_val = 11 [packed = true];
- getBoolVal(int) - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_BOOL
repeated bool bool_val = 11 [packed = true];
- getBoolVal(int) - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_BOOL
repeated bool bool_val = 11 [packed = true];
- getBoolValCount() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_BOOL
repeated bool bool_val = 11 [packed = true];
- getBoolValCount() - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_BOOL
repeated bool bool_val = 11 [packed = true];
- getBoolValCount() - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_BOOL
repeated bool bool_val = 11 [packed = true];
- getBoolValList() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_BOOL
repeated bool bool_val = 11 [packed = true];
- getBoolValList() - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_BOOL
repeated bool bool_val = 11 [packed = true];
- getBoolValList() - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_BOOL
repeated bool bool_val = 11 [packed = true];
- getBranch() - 类 中的方法org.tensorflow.framework.CondContextDef.Builder
-
Branch prediction. 0 or 1.
- getBranch() - 类 中的方法org.tensorflow.framework.CondContextDef
-
Branch prediction. 0 or 1.
- getBranch() - 接口 中的方法org.tensorflow.framework.CondContextDefOrBuilder
-
Branch prediction. 0 or 1.
- getBucket(int) - 类 中的方法org.tensorflow.framework.HistogramProto.Builder
-
repeated double bucket = 7 [packed = true];
- getBucket(int) - 类 中的方法org.tensorflow.framework.HistogramProto
-
repeated double bucket = 7 [packed = true];
- getBucket(int) - 接口 中的方法org.tensorflow.framework.HistogramProtoOrBuilder
-
repeated double bucket = 7 [packed = true];
- getBucketCount() - 类 中的方法org.tensorflow.framework.HistogramProto.Builder
-
repeated double bucket = 7 [packed = true];
- getBucketCount() - 类 中的方法org.tensorflow.framework.HistogramProto
-
repeated double bucket = 7 [packed = true];
- getBucketCount() - 接口 中的方法org.tensorflow.framework.HistogramProtoOrBuilder
-
repeated double bucket = 7 [packed = true];
- getBucketLimit(int) - 类 中的方法org.tensorflow.framework.HistogramProto.Builder
-
Parallel arrays encoding the bucket boundaries and the bucket values.
- getBucketLimit(int) - 类 中的方法org.tensorflow.framework.HistogramProto
-
Parallel arrays encoding the bucket boundaries and the bucket values.
- getBucketLimit(int) - 接口 中的方法org.tensorflow.framework.HistogramProtoOrBuilder
-
Parallel arrays encoding the bucket boundaries and the bucket values.
- getBucketLimitCount() - 类 中的方法org.tensorflow.framework.HistogramProto.Builder
-
Parallel arrays encoding the bucket boundaries and the bucket values.
- getBucketLimitCount() - 类 中的方法org.tensorflow.framework.HistogramProto
-
Parallel arrays encoding the bucket boundaries and the bucket values.
- getBucketLimitCount() - 接口 中的方法org.tensorflow.framework.HistogramProtoOrBuilder
-
Parallel arrays encoding the bucket boundaries and the bucket values.
- getBucketLimitList() - 类 中的方法org.tensorflow.framework.HistogramProto.Builder
-
Parallel arrays encoding the bucket boundaries and the bucket values.
- getBucketLimitList() - 类 中的方法org.tensorflow.framework.HistogramProto
-
Parallel arrays encoding the bucket boundaries and the bucket values.
- getBucketLimitList() - 接口 中的方法org.tensorflow.framework.HistogramProtoOrBuilder
-
Parallel arrays encoding the bucket boundaries and the bucket values.
- getBucketList() - 类 中的方法org.tensorflow.framework.HistogramProto.Builder
-
repeated double bucket = 7 [packed = true];
- getBucketList() - 类 中的方法org.tensorflow.framework.HistogramProto
-
repeated double bucket = 7 [packed = true];
- getBucketList() - 接口 中的方法org.tensorflow.framework.HistogramProtoOrBuilder
-
repeated double bucket = 7 [packed = true];
- getBufPtr() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest.Builder
-
When RDMA is in use, address of destination field on client.
- getBufPtr() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest
-
When RDMA is in use, address of destination field on client.
- getBufPtr() - 接口 中的方法org.tensorflow.distruntime.RecvBufRequestOrBuilder
-
When RDMA is in use, address of destination field on client.
- getBufPtr() - 类 中的方法org.tensorflow.distruntime.RecvBufResponse.Builder
-
Address of source field on server.
- getBufPtr() - 类 中的方法org.tensorflow.distruntime.RecvBufResponse
-
Address of source field on server.
- getBufPtr() - 接口 中的方法org.tensorflow.distruntime.RecvBufResponseOrBuilder
-
Address of source field on server.
- getBufRendezvousKey() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest.Builder
-
Arbitrary string identifying a BufRendezvous entry.
- getBufRendezvousKey() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest
-
Arbitrary string identifying a BufRendezvous entry.
- getBufRendezvousKey() - 接口 中的方法org.tensorflow.distruntime.RecvBufRequestOrBuilder
-
Arbitrary string identifying a BufRendezvous entry.
- getBufRendezvousKeyBytes() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest.Builder
-
Arbitrary string identifying a BufRendezvous entry.
- getBufRendezvousKeyBytes() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest
-
Arbitrary string identifying a BufRendezvous entry.
- getBufRendezvousKeyBytes() - 接口 中的方法org.tensorflow.distruntime.RecvBufRequestOrBuilder
-
Arbitrary string identifying a BufRendezvous entry.
- getBuildCostModel() - 类 中的方法org.tensorflow.framework.GraphOptions.Builder
-
The number of steps to run before returning a cost model detailing
the memory usage and performance of each node of the graph. 0 means
no cost model.
- getBuildCostModel() - 类 中的方法org.tensorflow.framework.GraphOptions
-
The number of steps to run before returning a cost model detailing
the memory usage and performance of each node of the graph. 0 means
no cost model.
- getBuildCostModel() - 接口 中的方法org.tensorflow.framework.GraphOptionsOrBuilder
-
The number of steps to run before returning a cost model detailing
the memory usage and performance of each node of the graph. 0 means
no cost model.
- getBuildCostModelAfter() - 类 中的方法org.tensorflow.framework.GraphOptions.Builder
-
The number of steps to skip before collecting statistics for the
cost model.
- getBuildCostModelAfter() - 类 中的方法org.tensorflow.framework.GraphOptions
-
The number of steps to skip before collecting statistics for the
cost model.
- getBuildCostModelAfter() - 接口 中的方法org.tensorflow.framework.GraphOptionsOrBuilder
-
The number of steps to skip before collecting statistics for the
cost model.
- getBusId() - 类 中的方法org.tensorflow.framework.DeviceLocality.Builder
-
Optional bus locality of device.
- getBusId() - 类 中的方法org.tensorflow.framework.DeviceLocality
-
Optional bus locality of device.
- getBusId() - 接口 中的方法org.tensorflow.framework.DeviceLocalityOrBuilder
-
Optional bus locality of device.
- getBytes() - 类 中的方法org.tensorflow.framework.DebuggedSourceFile.Builder
-
Byte size of the file.
- getBytes() - 类 中的方法org.tensorflow.framework.DebuggedSourceFile
-
Byte size of the file.
- getBytes() - 接口 中的方法org.tensorflow.framework.DebuggedSourceFileOrBuilder
-
Byte size of the file.
- getBytesList() - 类 中的方法org.tensorflow.example.Feature.Builder
-
.tensorflow.BytesList bytes_list = 1;
- getBytesList() - 类 中的方法org.tensorflow.example.Feature
-
.tensorflow.BytesList bytes_list = 1;
- getBytesList() - 接口 中的方法org.tensorflow.example.FeatureOrBuilder
-
.tensorflow.BytesList bytes_list = 1;
- getBytesList() - 类 中的方法org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.BytesList bytes_list = 2;
- getBytesList() - 类 中的方法org.tensorflow.framework.CollectionDef
-
.tensorflow.CollectionDef.BytesList bytes_list = 2;
- getBytesList() - 接口 中的方法org.tensorflow.framework.CollectionDefOrBuilder
-
.tensorflow.CollectionDef.BytesList bytes_list = 2;
- getBytesListBuilder() - 类 中的方法org.tensorflow.example.Feature.Builder
-
.tensorflow.BytesList bytes_list = 1;
- getBytesListBuilder() - 类 中的方法org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.BytesList bytes_list = 2;
- getBytesListOrBuilder() - 类 中的方法org.tensorflow.example.Feature.Builder
-
.tensorflow.BytesList bytes_list = 1;
- getBytesListOrBuilder() - 类 中的方法org.tensorflow.example.Feature
-
.tensorflow.BytesList bytes_list = 1;
- getBytesListOrBuilder() - 接口 中的方法org.tensorflow.example.FeatureOrBuilder
-
.tensorflow.BytesList bytes_list = 1;
- getBytesListOrBuilder() - 类 中的方法org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.BytesList bytes_list = 2;
- getBytesListOrBuilder() - 类 中的方法org.tensorflow.framework.CollectionDef
-
.tensorflow.CollectionDef.BytesList bytes_list = 2;
- getBytesListOrBuilder() - 接口 中的方法org.tensorflow.framework.CollectionDefOrBuilder
-
.tensorflow.CollectionDef.BytesList bytes_list = 2;
- getCancelOpName() - 类 中的方法org.tensorflow.framework.QueueRunnerDef.Builder
-
The operation to run to cancel the queue.
- getCancelOpName() - 类 中的方法org.tensorflow.framework.QueueRunnerDef
-
The operation to run to cancel the queue.
- getCancelOpName() - 接口 中的方法org.tensorflow.framework.QueueRunnerDefOrBuilder
-
The operation to run to cancel the queue.
- getCancelOpNameBytes() - 类 中的方法org.tensorflow.framework.QueueRunnerDef.Builder
-
The operation to run to cancel the queue.
- getCancelOpNameBytes() - 类 中的方法org.tensorflow.framework.QueueRunnerDef
-
The operation to run to cancel the queue.
- getCancelOpNameBytes() - 接口 中的方法org.tensorflow.framework.QueueRunnerDefOrBuilder
-
The operation to run to cancel the queue.
- getCheckpointKey() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
-
The generated name of the Tensor in the checkpoint.
- getCheckpointKey() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
-
The generated name of the Tensor in the checkpoint.
- getCheckpointKey() - 接口 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensorOrBuilder
-
The generated name of the Tensor in the checkpoint.
- getCheckpointKeyBytes() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
-
The generated name of the Tensor in the checkpoint.
- getCheckpointKeyBytes() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
-
The generated name of the Tensor in the checkpoint.
- getCheckpointKeyBytes() - 接口 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensorOrBuilder
-
The generated name of the Tensor in the checkpoint.
- getChildren(int) - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Objects which this object depends on.
- getChildren(int) - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
Objects which this object depends on.
- getChildren(int) - 接口 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder
-
Objects which this object depends on.
- getChildrenBuilder(int) - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Objects which this object depends on.
- getChildrenBuilderList() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Objects which this object depends on.
- getChildrenCount() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Objects which this object depends on.
- getChildrenCount() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
Objects which this object depends on.
- getChildrenCount() - 接口 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder
-
Objects which this object depends on.
- getChildrenList() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Objects which this object depends on.
- getChildrenList() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
Objects which this object depends on.
- getChildrenList() - 接口 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder
-
Objects which this object depends on.
- getChildrenOrBuilder(int) - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Objects which this object depends on.
- getChildrenOrBuilder(int) - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
Objects which this object depends on.
- getChildrenOrBuilder(int) - 接口 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder
-
Objects which this object depends on.
- getChildrenOrBuilderList() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Objects which this object depends on.
- getChildrenOrBuilderList() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
Objects which this object depends on.
- getChildrenOrBuilderList() - 接口 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder
-
Objects which this object depends on.
- getClasses(int) - 类 中的方法tensorflow.serving.Classification.Classifications.Builder
-
repeated .tensorflow.serving.Class classes = 1;
- getClasses(int) - 类 中的方法tensorflow.serving.Classification.Classifications
-
repeated .tensorflow.serving.Class classes = 1;
- getClasses(int) - 接口 中的方法tensorflow.serving.Classification.ClassificationsOrBuilder
-
repeated .tensorflow.serving.Class classes = 1;
- getClassesBuilder(int) - 类 中的方法tensorflow.serving.Classification.Classifications.Builder
-
repeated .tensorflow.serving.Class classes = 1;
- getClassesBuilderList() - 类 中的方法tensorflow.serving.Classification.Classifications.Builder
-
repeated .tensorflow.serving.Class classes = 1;
- getClassesCount() - 类 中的方法tensorflow.serving.Classification.Classifications.Builder
-
repeated .tensorflow.serving.Class classes = 1;
- getClassesCount() - 类 中的方法tensorflow.serving.Classification.Classifications
-
repeated .tensorflow.serving.Class classes = 1;
- getClassesCount() - 接口 中的方法tensorflow.serving.Classification.ClassificationsOrBuilder
-
repeated .tensorflow.serving.Class classes = 1;
- getClassesList() - 类 中的方法tensorflow.serving.Classification.Classifications.Builder
-
repeated .tensorflow.serving.Class classes = 1;
- getClassesList() - 类 中的方法tensorflow.serving.Classification.Classifications
-
repeated .tensorflow.serving.Class classes = 1;
- getClassesList() - 接口 中的方法tensorflow.serving.Classification.ClassificationsOrBuilder
-
repeated .tensorflow.serving.Class classes = 1;
- getClassesOrBuilder(int) - 类 中的方法tensorflow.serving.Classification.Classifications.Builder
-
repeated .tensorflow.serving.Class classes = 1;
- getClassesOrBuilder(int) - 类 中的方法tensorflow.serving.Classification.Classifications
-
repeated .tensorflow.serving.Class classes = 1;
- getClassesOrBuilder(int) - 接口 中的方法tensorflow.serving.Classification.ClassificationsOrBuilder
-
repeated .tensorflow.serving.Class classes = 1;
- getClassesOrBuilderList() - 类 中的方法tensorflow.serving.Classification.Classifications.Builder
-
repeated .tensorflow.serving.Class classes = 1;
- getClassesOrBuilderList() - 类 中的方法tensorflow.serving.Classification.Classifications
-
repeated .tensorflow.serving.Class classes = 1;
- getClassesOrBuilderList() - 接口 中的方法tensorflow.serving.Classification.ClassificationsOrBuilder
-
repeated .tensorflow.serving.Class classes = 1;
- getClassificationResult() - 类 中的方法tensorflow.serving.Inference.InferenceResult.Builder
-
.tensorflow.serving.ClassificationResult classification_result = 2;
- getClassificationResult() - 类 中的方法tensorflow.serving.Inference.InferenceResult
-
.tensorflow.serving.ClassificationResult classification_result = 2;
- getClassificationResult() - 接口 中的方法tensorflow.serving.Inference.InferenceResultOrBuilder
-
.tensorflow.serving.ClassificationResult classification_result = 2;
- getClassificationResultBuilder() - 类 中的方法tensorflow.serving.Inference.InferenceResult.Builder
-
.tensorflow.serving.ClassificationResult classification_result = 2;
- getClassificationResultOrBuilder() - 类 中的方法tensorflow.serving.Inference.InferenceResult.Builder
-
.tensorflow.serving.ClassificationResult classification_result = 2;
- getClassificationResultOrBuilder() - 类 中的方法tensorflow.serving.Inference.InferenceResult
-
.tensorflow.serving.ClassificationResult classification_result = 2;
- getClassificationResultOrBuilder() - 接口 中的方法tensorflow.serving.Inference.InferenceResultOrBuilder
-
.tensorflow.serving.ClassificationResult classification_result = 2;
- getClassifications(int) - 类 中的方法tensorflow.serving.Classification.ClassificationResult.Builder
-
repeated .tensorflow.serving.Classifications classifications = 1;
- getClassifications(int) - 类 中的方法tensorflow.serving.Classification.ClassificationResult
-
repeated .tensorflow.serving.Classifications classifications = 1;
- getClassifications(int) - 接口 中的方法tensorflow.serving.Classification.ClassificationResultOrBuilder
-
repeated .tensorflow.serving.Classifications classifications = 1;
- getClassificationsBuilder(int) - 类 中的方法tensorflow.serving.Classification.ClassificationResult.Builder
-
repeated .tensorflow.serving.Classifications classifications = 1;
- getClassificationsBuilderList() - 类 中的方法tensorflow.serving.Classification.ClassificationResult.Builder
-
repeated .tensorflow.serving.Classifications classifications = 1;
- getClassificationsCount() - 类 中的方法tensorflow.serving.Classification.ClassificationResult.Builder
-
repeated .tensorflow.serving.Classifications classifications = 1;
- getClassificationsCount() - 类 中的方法tensorflow.serving.Classification.ClassificationResult
-
repeated .tensorflow.serving.Classifications classifications = 1;
- getClassificationsCount() - 接口 中的方法tensorflow.serving.Classification.ClassificationResultOrBuilder
-
repeated .tensorflow.serving.Classifications classifications = 1;
- getClassificationsList() - 类 中的方法tensorflow.serving.Classification.ClassificationResult.Builder
-
repeated .tensorflow.serving.Classifications classifications = 1;
- getClassificationsList() - 类 中的方法tensorflow.serving.Classification.ClassificationResult
-
repeated .tensorflow.serving.Classifications classifications = 1;
- getClassificationsList() - 接口 中的方法tensorflow.serving.Classification.ClassificationResultOrBuilder
-
repeated .tensorflow.serving.Classifications classifications = 1;
- getClassificationsOrBuilder(int) - 类 中的方法tensorflow.serving.Classification.ClassificationResult.Builder
-
repeated .tensorflow.serving.Classifications classifications = 1;
- getClassificationsOrBuilder(int) - 类 中的方法tensorflow.serving.Classification.ClassificationResult
-
repeated .tensorflow.serving.Classifications classifications = 1;
- getClassificationsOrBuilder(int) - 接口 中的方法tensorflow.serving.Classification.ClassificationResultOrBuilder
-
repeated .tensorflow.serving.Classifications classifications = 1;
- getClassificationsOrBuilderList() - 类 中的方法tensorflow.serving.Classification.ClassificationResult.Builder
-
repeated .tensorflow.serving.Classifications classifications = 1;
- getClassificationsOrBuilderList() - 类 中的方法tensorflow.serving.Classification.ClassificationResult
-
repeated .tensorflow.serving.Classifications classifications = 1;
- getClassificationsOrBuilderList() - 接口 中的方法tensorflow.serving.Classification.ClassificationResultOrBuilder
-
repeated .tensorflow.serving.Classifications classifications = 1;
- getClassifyLog() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
-
.tensorflow.serving.ClassifyLog classify_log = 2;
- getClassifyLog() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
-
.tensorflow.serving.ClassifyLog classify_log = 2;
- getClassifyLog() - 接口 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLogOrBuilder
-
.tensorflow.serving.ClassifyLog classify_log = 2;
- getClassifyLogBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
-
.tensorflow.serving.ClassifyLog classify_log = 2;
- getClassifyLogOrBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
-
.tensorflow.serving.ClassifyLog classify_log = 2;
- getClassifyLogOrBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
-
.tensorflow.serving.ClassifyLog classify_log = 2;
- getClassifyLogOrBuilder() - 接口 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLogOrBuilder
-
.tensorflow.serving.ClassifyLog classify_log = 2;
- getClassifyMethod() - 类 中的静态方法tensorflow.serving.PredictionServiceGrpc
-
- getCleanupAllMethod() - 类 中的静态方法org.tensorflow.distruntime.WorkerServiceGrpc
-
- getCleanupGraphMethod() - 类 中的静态方法org.tensorflow.distruntime.WorkerServiceGrpc
-
- getClear() - 类 中的方法org.tensorflow.distruntime.LoggingRequest.Builder
-
If true, discard any saved logging data (for all steps).
- getClear() - 类 中的方法org.tensorflow.distruntime.LoggingRequest
-
If true, discard any saved logging data (for all steps).
- getClear() - 接口 中的方法org.tensorflow.distruntime.LoggingRequestOrBuilder
-
If true, discard any saved logging data (for all steps).
- getClientLocality() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest.Builder
-
Optional information on client-side device locality.
- getClientLocality() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest
-
Optional information on client-side device locality.
- getClientLocality() - 接口 中的方法org.tensorflow.distruntime.RecvBufRequestOrBuilder
-
Optional information on client-side device locality.
- getClientLocality() - 类 中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder
-
Optional information on client-side device locality.
- getClientLocality() - 类 中的方法org.tensorflow.distruntime.RecvTensorRequest
-
Optional information on client-side device locality.
- getClientLocality() - 接口 中的方法org.tensorflow.distruntime.RecvTensorRequestOrBuilder
-
Optional information on client-side device locality.
- getClientLocalityBuilder() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest.Builder
-
Optional information on client-side device locality.
- getClientLocalityBuilder() - 类 中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder
-
Optional information on client-side device locality.
- getClientLocalityOrBuilder() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest.Builder
-
Optional information on client-side device locality.
- getClientLocalityOrBuilder() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest
-
Optional information on client-side device locality.
- getClientLocalityOrBuilder() - 接口 中的方法org.tensorflow.distruntime.RecvBufRequestOrBuilder
-
Optional information on client-side device locality.
- getClientLocalityOrBuilder() - 类 中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder
-
Optional information on client-side device locality.
- getClientLocalityOrBuilder() - 类 中的方法org.tensorflow.distruntime.RecvTensorRequest
-
Optional information on client-side device locality.
- getClientLocalityOrBuilder() - 接口 中的方法org.tensorflow.distruntime.RecvTensorRequestOrBuilder
-
Optional information on client-side device locality.
- getClientVerify() - 类 中的方法tensorflow.serving.SslConfig.SSLConfig.Builder
-
valid client certificate required ?
- getClientVerify() - 类 中的方法tensorflow.serving.SslConfig.SSLConfig
-
valid client certificate required ?
- getClientVerify() - 接口 中的方法tensorflow.serving.SslConfig.SSLConfigOrBuilder
-
valid client certificate required ?
- getCloseContextMethod() - 类 中的静态方法tensorflow.eager.EagerServiceGrpc
-
- getCloseOpName() - 类 中的方法org.tensorflow.framework.QueueRunnerDef.Builder
-
The operation to run to close the queue.
- getCloseOpName() - 类 中的方法org.tensorflow.framework.QueueRunnerDef
-
The operation to run to close the queue.
- getCloseOpName() - 接口 中的方法org.tensorflow.framework.QueueRunnerDefOrBuilder
-
The operation to run to close the queue.
- getCloseOpNameBytes() - 类 中的方法org.tensorflow.framework.QueueRunnerDef.Builder
-
The operation to run to close the queue.
- getCloseOpNameBytes() - 类 中的方法org.tensorflow.framework.QueueRunnerDef
-
The operation to run to close the queue.
- getCloseOpNameBytes() - 接口 中的方法org.tensorflow.framework.QueueRunnerDefOrBuilder
-
The operation to run to close the queue.
- getCloseSessionMethod() - 类 中的静态方法org.tensorflow.distruntime.MasterServiceGrpc
-
- getCluster() - 类 中的方法org.tensorflow.distruntime.ServerDef.Builder
-
The cluster of which this server is a member.
- getCluster() - 类 中的方法org.tensorflow.distruntime.ServerDef
-
The cluster of which this server is a member.
- getCluster() - 接口 中的方法org.tensorflow.distruntime.ServerDefOrBuilder
-
The cluster of which this server is a member.
- getClusterBuilder() - 类 中的方法org.tensorflow.distruntime.ServerDef.Builder
-
The cluster of which this server is a member.
- getClusterDef() - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
Optional list of all workers to use in this session.
- getClusterDef() - 类 中的方法org.tensorflow.framework.ConfigProto
-
Optional list of all workers to use in this session.
- getClusterDef() - 接口 中的方法org.tensorflow.framework.ConfigProtoOrBuilder
-
Optional list of all workers to use in this session.
- getClusterDefBuilder() - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
Optional list of all workers to use in this session.
- getClusterDefOrBuilder() - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
Optional list of all workers to use in this session.
- getClusterDefOrBuilder() - 类 中的方法org.tensorflow.framework.ConfigProto
-
Optional list of all workers to use in this session.
- getClusterDefOrBuilder() - 接口 中的方法org.tensorflow.framework.ConfigProtoOrBuilder
-
Optional list of all workers to use in this session.
- getClusterOrBuilder() - 类 中的方法org.tensorflow.distruntime.ServerDef.Builder
-
The cluster of which this server is a member.
- getClusterOrBuilder() - 类 中的方法org.tensorflow.distruntime.ServerDef
-
The cluster of which this server is a member.
- getClusterOrBuilder() - 接口 中的方法org.tensorflow.distruntime.ServerDefOrBuilder
-
The cluster of which this server is a member.
- getCollectionDef() - 类 中的方法org.tensorflow.framework.MetaGraphDef.Builder
-
已过时。
- getCollectionDef() - 类 中的方法org.tensorflow.framework.MetaGraphDef
-
已过时。
- getCollectionDef() - 接口 中的方法org.tensorflow.framework.MetaGraphDefOrBuilder
-
已过时。
- getCollectionDefCount() - 类 中的方法org.tensorflow.framework.MetaGraphDef.Builder
-
- getCollectionDefCount() - 类 中的方法org.tensorflow.framework.MetaGraphDef
-
- getCollectionDefCount() - 接口 中的方法org.tensorflow.framework.MetaGraphDefOrBuilder
-
collection_def: Map from collection name to collections.
- getCollectionDefMap() - 类 中的方法org.tensorflow.framework.MetaGraphDef.Builder
-
collection_def: Map from collection name to collections.
- getCollectionDefMap() - 类 中的方法org.tensorflow.framework.MetaGraphDef
-
collection_def: Map from collection name to collections.
- getCollectionDefMap() - 接口 中的方法org.tensorflow.framework.MetaGraphDefOrBuilder
-
collection_def: Map from collection name to collections.
- getCollectionDefOrDefault(String, CollectionDef) - 类 中的方法org.tensorflow.framework.MetaGraphDef.Builder
-
collection_def: Map from collection name to collections.
- getCollectionDefOrDefault(String, CollectionDef) - 类 中的方法org.tensorflow.framework.MetaGraphDef
-
collection_def: Map from collection name to collections.
- getCollectionDefOrDefault(String, CollectionDef) - 接口 中的方法org.tensorflow.framework.MetaGraphDefOrBuilder
-
collection_def: Map from collection name to collections.
- getCollectionDefOrThrow(String) - 类 中的方法org.tensorflow.framework.MetaGraphDef.Builder
-
collection_def: Map from collection name to collections.
- getCollectionDefOrThrow(String) - 类 中的方法org.tensorflow.framework.MetaGraphDef
-
collection_def: Map from collection name to collections.
- getCollectionDefOrThrow(String) - 接口 中的方法org.tensorflow.framework.MetaGraphDefOrBuilder
-
collection_def: Map from collection name to collections.
- getCollectiveGraphKey() - 类 中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
If graph_def contains any collective ops this must be a positive
integer used to coordinate execution with other graphs.
- getCollectiveGraphKey() - 类 中的方法org.tensorflow.distruntime.RegisterGraphRequest
-
If graph_def contains any collective ops this must be a positive
integer used to coordinate execution with other graphs.
- getCollectiveGraphKey() - 接口 中的方法org.tensorflow.distruntime.RegisterGraphRequestOrBuilder
-
If graph_def contains any collective ops this must be a positive
integer used to coordinate execution with other graphs.
- getCollectiveGraphKey() - 类 中的方法org.tensorflow.framework.RunOptions.Experimental.Builder
-
If non-zero, declares that this graph is going to use collective
ops and must synchronize step_ids with any other graph with this
same group_key value (in a distributed computation where tasks
run disjoint graphs).
- getCollectiveGraphKey() - 类 中的方法org.tensorflow.framework.RunOptions.Experimental
-
If non-zero, declares that this graph is going to use collective
ops and must synchronize step_ids with any other graph with this
same group_key value (in a distributed computation where tasks
run disjoint graphs).
- getCollectiveGraphKey() - 接口 中的方法org.tensorflow.framework.RunOptions.ExperimentalOrBuilder
-
If non-zero, declares that this graph is going to use collective
ops and must synchronize step_ids with any other graph with this
same group_key value (in a distributed computation where tasks
run disjoint graphs).
- getCollectiveGroupLeader() - 类 中的方法org.tensorflow.framework.ConfigProto.Experimental.Builder
-
Task name for group resolution.
- getCollectiveGroupLeader() - 类 中的方法org.tensorflow.framework.ConfigProto.Experimental
-
Task name for group resolution.
- getCollectiveGroupLeader() - 接口 中的方法org.tensorflow.framework.ConfigProto.ExperimentalOrBuilder
-
Task name for group resolution.
- getCollectiveGroupLeaderBytes() - 类 中的方法org.tensorflow.framework.ConfigProto.Experimental.Builder
-
Task name for group resolution.
- getCollectiveGroupLeaderBytes() - 类 中的方法org.tensorflow.framework.ConfigProto.Experimental
-
Task name for group resolution.
- getCollectiveGroupLeaderBytes() - 接口 中的方法org.tensorflow.framework.ConfigProto.ExperimentalOrBuilder
-
Task name for group resolution.
- getColorspace() - 类 中的方法org.tensorflow.framework.Summary.Image.Builder
-
Valid colorspace values are
1 - grayscale
2 - grayscale + alpha
3 - RGB
4 - RGBA
5 - DIGITAL_YUV
6 - BGRA
int32 colorspace = 3;
- getColorspace() - 类 中的方法org.tensorflow.framework.Summary.Image
-
Valid colorspace values are
1 - grayscale
2 - grayscale + alpha
3 - RGB
4 - RGBA
5 - DIGITAL_YUV
6 - BGRA
int32 colorspace = 3;
- getColorspace() - 接口 中的方法org.tensorflow.framework.Summary.ImageOrBuilder
-
Valid colorspace values are
1 - grayscale
2 - grayscale + alpha
3 - RGB
4 - RGBA
5 - DIGITAL_YUV
6 - BGRA
int32 colorspace = 3;
- getCompleteGroupMethod() - 类 中的静态方法org.tensorflow.distruntime.WorkerServiceGrpc
-
- getCompleteInstanceMethod() - 类 中的静态方法org.tensorflow.distruntime.WorkerServiceGrpc
-
- getComputeCost() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
-
Estimate of the computational cost of this node, in microseconds.
- getComputeCost() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node
-
Estimate of the computational cost of this node, in microseconds.
- getComputeCost() - 接口 中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
Estimate of the computational cost of this node, in microseconds.
- getComputeTime() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
-
Analytical estimate of the computational cost of this node, in
microseconds.
- getComputeTime() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node
-
Analytical estimate of the computational cost of this node, in
microseconds.
- getComputeTime() - 接口 中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
Analytical estimate of the computational cost of this node, in
microseconds.
- getCondCtxt() - 类 中的方法org.tensorflow.framework.ControlFlowContextDef.Builder
-
.tensorflow.CondContextDef cond_ctxt = 1;
- getCondCtxt() - 类 中的方法org.tensorflow.framework.ControlFlowContextDef
-
.tensorflow.CondContextDef cond_ctxt = 1;
- getCondCtxt() - 接口 中的方法org.tensorflow.framework.ControlFlowContextDefOrBuilder
-
.tensorflow.CondContextDef cond_ctxt = 1;
- getCondCtxtBuilder() - 类 中的方法org.tensorflow.framework.ControlFlowContextDef.Builder
-
.tensorflow.CondContextDef cond_ctxt = 1;
- getCondCtxtOrBuilder() - 类 中的方法org.tensorflow.framework.ControlFlowContextDef.Builder
-
.tensorflow.CondContextDef cond_ctxt = 1;
- getCondCtxtOrBuilder() - 类 中的方法org.tensorflow.framework.ControlFlowContextDef
-
.tensorflow.CondContextDef cond_ctxt = 1;
- getCondCtxtOrBuilder() - 接口 中的方法org.tensorflow.framework.ControlFlowContextDefOrBuilder
-
.tensorflow.CondContextDef cond_ctxt = 1;
- getConfig() - 类 中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder
-
Configuration options.
- getConfig() - 类 中的方法org.tensorflow.distruntime.CreateSessionRequest
-
Configuration options.
- getConfig() - 接口 中的方法org.tensorflow.distruntime.CreateSessionRequestOrBuilder
-
Configuration options.
- getConfig() - 类 中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest.Builder
-
.tensorflow.serving.ModelServerConfig config = 1;
- getConfig() - 类 中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest
-
.tensorflow.serving.ModelServerConfig config = 1;
- getConfig() - 接口 中的方法tensorflow.serving.ModelManagement.ReloadConfigRequestOrBuilder
-
.tensorflow.serving.ModelServerConfig config = 1;
- getConfig(int) - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder
-
repeated .tensorflow.serving.ModelConfig config = 1;
- getConfig(int) - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
-
repeated .tensorflow.serving.ModelConfig config = 1;
- getConfig(int) - 接口 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigListOrBuilder
-
repeated .tensorflow.serving.ModelConfig config = 1;
- getConfigBuilder() - 类 中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder
-
Configuration options.
- getConfigBuilder() - 类 中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest.Builder
-
.tensorflow.serving.ModelServerConfig config = 1;
- getConfigBuilder(int) - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder
-
repeated .tensorflow.serving.ModelConfig config = 1;
- getConfigBuilderList() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder
-
repeated .tensorflow.serving.ModelConfig config = 1;
- getConfigCase() - 类 中的方法org.tensorflow.example.FeatureConfiguration.Builder
-
- getConfigCase() - 类 中的方法org.tensorflow.example.FeatureConfiguration
-
- getConfigCase() - 接口 中的方法org.tensorflow.example.FeatureConfigurationOrBuilder
-
- getConfigCase() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder
-
- getConfigCase() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
-
- getConfigCase() - 接口 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfigOrBuilder
-
- getConfigCount() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder
-
repeated .tensorflow.serving.ModelConfig config = 1;
- getConfigCount() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
-
repeated .tensorflow.serving.ModelConfig config = 1;
- getConfigCount() - 接口 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigListOrBuilder
-
repeated .tensorflow.serving.ModelConfig config = 1;
- getConfigList() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder
-
repeated .tensorflow.serving.ModelConfig config = 1;
- getConfigList() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
-
repeated .tensorflow.serving.ModelConfig config = 1;
- getConfigList() - 接口 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigListOrBuilder
-
repeated .tensorflow.serving.ModelConfig config = 1;
- getConfigOrBuilder() - 类 中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder
-
Configuration options.
- getConfigOrBuilder() - 类 中的方法org.tensorflow.distruntime.CreateSessionRequest
-
Configuration options.
- getConfigOrBuilder() - 接口 中的方法org.tensorflow.distruntime.CreateSessionRequestOrBuilder
-
Configuration options.
- getConfigOrBuilder() - 类 中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest.Builder
-
.tensorflow.serving.ModelServerConfig config = 1;
- getConfigOrBuilder() - 类 中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest
-
.tensorflow.serving.ModelServerConfig config = 1;
- getConfigOrBuilder() - 接口 中的方法tensorflow.serving.ModelManagement.ReloadConfigRequestOrBuilder
-
.tensorflow.serving.ModelServerConfig config = 1;
- getConfigOrBuilder(int) - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder
-
repeated .tensorflow.serving.ModelConfig config = 1;
- getConfigOrBuilder(int) - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
-
repeated .tensorflow.serving.ModelConfig config = 1;
- getConfigOrBuilder(int) - 接口 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigListOrBuilder
-
repeated .tensorflow.serving.ModelConfig config = 1;
- getConfigOrBuilderList() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder
-
repeated .tensorflow.serving.ModelConfig config = 1;
- getConfigOrBuilderList() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
-
repeated .tensorflow.serving.ModelConfig config = 1;
- getConfigOrBuilderList() - 接口 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigListOrBuilder
-
repeated .tensorflow.serving.ModelConfig config = 1;
- getConstantFolding() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
Fold constants (default is ON)
Statically infer the value of tensors when possible, and materialize the
result using constants.
- getConstantFolding() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
Fold constants (default is ON)
Statically infer the value of tensors when possible, and materialize the
result using constants.
- getConstantFolding() - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
Fold constants (default is ON)
Statically infer the value of tensors when possible, and materialize the
result using constants.
- getConstantFoldingValue() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
Fold constants (default is ON)
Statically infer the value of tensors when possible, and materialize the
result using constants.
- getConstantFoldingValue() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
Fold constants (default is ON)
Statically infer the value of tensors when possible, and materialize the
result using constants.
- getConstantFoldingValue() - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
Fold constants (default is ON)
Statically infer the value of tensors when possible, and materialize the
result using constants.
- getConstNodeInfo(int) - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
- getConstNodeInfo(int) - 类 中的方法org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
- getConstNodeInfo(int) - 接口 中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
- getConstNodeInfoBuilder(int) - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
- getConstNodeInfoBuilderList() - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
- getConstNodeInfoCount() - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
- getConstNodeInfoCount() - 类 中的方法org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
- getConstNodeInfoCount() - 接口 中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
- getConstNodeInfoList() - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
- getConstNodeInfoList() - 类 中的方法org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
- getConstNodeInfoList() - 接口 中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
- getConstNodeInfoOrBuilder(int) - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
- getConstNodeInfoOrBuilder(int) - 类 中的方法org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
- getConstNodeInfoOrBuilder(int) - 接口 中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
- getConstNodeInfoOrBuilderList() - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
- getConstNodeInfoOrBuilderList() - 类 中的方法org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
- getConstNodeInfoOrBuilderList() - 接口 中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
- getConstraint(int) - 类 中的方法org.tensorflow.framework.KernelDef.Builder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraint(int) - 类 中的方法org.tensorflow.framework.KernelDef
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraint(int) - 接口 中的方法org.tensorflow.framework.KernelDefOrBuilder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintBuilder(int) - 类 中的方法org.tensorflow.framework.KernelDef.Builder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintBuilderList() - 类 中的方法org.tensorflow.framework.KernelDef.Builder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintCount() - 类 中的方法org.tensorflow.framework.KernelDef.Builder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintCount() - 类 中的方法org.tensorflow.framework.KernelDef
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintCount() - 接口 中的方法org.tensorflow.framework.KernelDefOrBuilder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintList() - 类 中的方法org.tensorflow.framework.KernelDef.Builder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintList() - 类 中的方法org.tensorflow.framework.KernelDef
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintList() - 接口 中的方法org.tensorflow.framework.KernelDefOrBuilder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintOrBuilder(int) - 类 中的方法org.tensorflow.framework.KernelDef.Builder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintOrBuilder(int) - 类 中的方法org.tensorflow.framework.KernelDef
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintOrBuilder(int) - 接口 中的方法org.tensorflow.framework.KernelDefOrBuilder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintOrBuilderList() - 类 中的方法org.tensorflow.framework.KernelDef.Builder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintOrBuilderList() - 类 中的方法org.tensorflow.framework.KernelDef
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintOrBuilderList() - 接口 中的方法org.tensorflow.framework.KernelDefOrBuilder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getContainer(int) - 类 中的方法org.tensorflow.distruntime.CleanupAllRequest.Builder
-
A list of container names.
- getContainer(int) - 类 中的方法org.tensorflow.distruntime.CleanupAllRequest
-
A list of container names.
- getContainer(int) - 接口 中的方法org.tensorflow.distruntime.CleanupAllRequestOrBuilder
-
A list of container names.
- getContainer(int) - 类 中的方法org.tensorflow.distruntime.ResetRequest.Builder
-
A list of container names, which may be empty.
- getContainer(int) - 类 中的方法org.tensorflow.distruntime.ResetRequest
-
A list of container names, which may be empty.
- getContainer(int) - 接口 中的方法org.tensorflow.distruntime.ResetRequestOrBuilder
-
A list of container names, which may be empty.
- getContainer() - 类 中的方法org.tensorflow.framework.ResourceHandleProto.Builder
-
Container in which this resource is placed.
- getContainer() - 类 中的方法org.tensorflow.framework.ResourceHandleProto
-
Container in which this resource is placed.
- getContainer() - 接口 中的方法org.tensorflow.framework.ResourceHandleProtoOrBuilder
-
Container in which this resource is placed.
- getContainerBytes(int) - 类 中的方法org.tensorflow.distruntime.CleanupAllRequest.Builder
-
A list of container names.
- getContainerBytes(int) - 类 中的方法org.tensorflow.distruntime.CleanupAllRequest
-
A list of container names.
- getContainerBytes(int) - 接口 中的方法org.tensorflow.distruntime.CleanupAllRequestOrBuilder
-
A list of container names.
- getContainerBytes(int) - 类 中的方法org.tensorflow.distruntime.ResetRequest.Builder
-
A list of container names, which may be empty.
- getContainerBytes(int) - 类 中的方法org.tensorflow.distruntime.ResetRequest
-
A list of container names, which may be empty.
- getContainerBytes(int) - 接口 中的方法org.tensorflow.distruntime.ResetRequestOrBuilder
-
A list of container names, which may be empty.
- getContainerBytes() - 类 中的方法org.tensorflow.framework.ResourceHandleProto.Builder
-
Container in which this resource is placed.
- getContainerBytes() - 类 中的方法org.tensorflow.framework.ResourceHandleProto
-
Container in which this resource is placed.
- getContainerBytes() - 接口 中的方法org.tensorflow.framework.ResourceHandleProtoOrBuilder
-
Container in which this resource is placed.
- getContainerCount() - 类 中的方法org.tensorflow.distruntime.CleanupAllRequest.Builder
-
A list of container names.
- getContainerCount() - 类 中的方法org.tensorflow.distruntime.CleanupAllRequest
-
A list of container names.
- getContainerCount() - 接口 中的方法org.tensorflow.distruntime.CleanupAllRequestOrBuilder
-
A list of container names.
- getContainerCount() - 类 中的方法org.tensorflow.distruntime.ResetRequest.Builder
-
A list of container names, which may be empty.
- getContainerCount() - 类 中的方法org.tensorflow.distruntime.ResetRequest
-
A list of container names, which may be empty.
- getContainerCount() - 接口 中的方法org.tensorflow.distruntime.ResetRequestOrBuilder
-
A list of container names, which may be empty.
- getContainerList() - 类 中的方法org.tensorflow.distruntime.CleanupAllRequest.Builder
-
A list of container names.
- getContainerList() - 类 中的方法org.tensorflow.distruntime.CleanupAllRequest
-
A list of container names.
- getContainerList() - 接口 中的方法org.tensorflow.distruntime.CleanupAllRequestOrBuilder
-
A list of container names.
- getContainerList() - 类 中的方法org.tensorflow.distruntime.ResetRequest.Builder
-
A list of container names, which may be empty.
- getContainerList() - 类 中的方法org.tensorflow.distruntime.ResetRequest
-
A list of container names, which may be empty.
- getContainerList() - 接口 中的方法org.tensorflow.distruntime.ResetRequestOrBuilder
-
A list of container names, which may be empty.
- getContent() - 类 中的方法org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
The content to store for the plugin.
- getContent() - 类 中的方法org.tensorflow.framework.SummaryMetadata.PluginData
-
The content to store for the plugin.
- getContent() - 接口 中的方法org.tensorflow.framework.SummaryMetadata.PluginDataOrBuilder
-
The content to store for the plugin.
- getContentType() - 类 中的方法org.tensorflow.framework.Summary.Audio.Builder
-
string content_type = 5;
- getContentType() - 类 中的方法org.tensorflow.framework.Summary.Audio
-
string content_type = 5;
- getContentType() - 接口 中的方法org.tensorflow.framework.Summary.AudioOrBuilder
-
string content_type = 5;
- getContentTypeBytes() - 类 中的方法org.tensorflow.framework.Summary.Audio.Builder
-
string content_type = 5;
- getContentTypeBytes() - 类 中的方法org.tensorflow.framework.Summary.Audio
-
string content_type = 5;
- getContentTypeBytes() - 接口 中的方法org.tensorflow.framework.Summary.AudioOrBuilder
-
string content_type = 5;
- getContext() - 类 中的方法org.tensorflow.example.SequenceExample.Builder
-
.tensorflow.Features context = 1;
- getContext() - 类 中的方法org.tensorflow.example.SequenceExample
-
.tensorflow.Features context = 1;
- getContext() - 接口 中的方法org.tensorflow.example.SequenceExampleOrBuilder
-
.tensorflow.Features context = 1;
- getContext() - 类 中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder
-
.tensorflow.Example context = 2;
- getContext() - 类 中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext
-
.tensorflow.Example context = 2;
- getContext() - 接口 中的方法tensorflow.serving.InputOuterClass.ExampleListWithContextOrBuilder
-
.tensorflow.Example context = 2;
- getContext() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext.Builder
-
bytes context = 2;
- getContext() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
-
bytes context = 2;
- getContext() - 接口 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContextOrBuilder
-
bytes context = 2;
- getContextBuilder() - 类 中的方法org.tensorflow.example.SequenceExample.Builder
-
.tensorflow.Features context = 1;
- getContextBuilder() - 类 中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder
-
.tensorflow.Example context = 2;
- getContextId() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder
-
fixed64 context_id = 1;
- getContextId() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
-
fixed64 context_id = 1;
- getContextId() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequestOrBuilder
-
fixed64 context_id = 1;
- getContextId() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
-
The ID of the created context.
- getContextId() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
-
The ID of the created context.
- getContextId() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponseOrBuilder
-
The ID of the created context.
- getContextId() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
-
fixed64 context_id = 1;
- getContextId() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
-
fixed64 context_id = 1;
- getContextId() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequestOrBuilder
-
fixed64 context_id = 1;
- getContextId() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder
-
fixed64 context_id = 1;
- getContextId() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
-
fixed64 context_id = 1;
- getContextId() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequestOrBuilder
-
fixed64 context_id = 1;
- getContextId() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
-
fixed64 context_id = 1;
- getContextId() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
-
fixed64 context_id = 1;
- getContextId() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequestOrBuilder
-
fixed64 context_id = 1;
- getContextId() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder
-
fixed64 context_id = 1;
- getContextId() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
-
fixed64 context_id = 1;
- getContextId() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequestOrBuilder
-
fixed64 context_id = 1;
- getContextId() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
-
fixed64 context_id = 1;
- getContextId() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
-
fixed64 context_id = 1;
- getContextId() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequestOrBuilder
-
fixed64 context_id = 1;
- getContextName() - 类 中的方法org.tensorflow.framework.CondContextDef.Builder
-
Name of the context.
- getContextName() - 类 中的方法org.tensorflow.framework.CondContextDef
-
Name of the context.
- getContextName() - 接口 中的方法org.tensorflow.framework.CondContextDefOrBuilder
-
Name of the context.
- getContextName() - 类 中的方法org.tensorflow.framework.WhileContextDef.Builder
-
Name of the context.
- getContextName() - 类 中的方法org.tensorflow.framework.WhileContextDef
-
Name of the context.
- getContextName() - 接口 中的方法org.tensorflow.framework.WhileContextDefOrBuilder
-
Name of the context.
- getContextNameBytes() - 类 中的方法org.tensorflow.framework.CondContextDef.Builder
-
Name of the context.
- getContextNameBytes() - 类 中的方法org.tensorflow.framework.CondContextDef
-
Name of the context.
- getContextNameBytes() - 接口 中的方法org.tensorflow.framework.CondContextDefOrBuilder
-
Name of the context.
- getContextNameBytes() - 类 中的方法org.tensorflow.framework.WhileContextDef.Builder
-
Name of the context.
- getContextNameBytes() - 类 中的方法org.tensorflow.framework.WhileContextDef
-
Name of the context.
- getContextNameBytes() - 接口 中的方法org.tensorflow.framework.WhileContextDefOrBuilder
-
Name of the context.
- getContextOrBuilder() - 类 中的方法org.tensorflow.example.SequenceExample.Builder
-
.tensorflow.Features context = 1;
- getContextOrBuilder() - 类 中的方法org.tensorflow.example.SequenceExample
-
.tensorflow.Features context = 1;
- getContextOrBuilder() - 接口 中的方法org.tensorflow.example.SequenceExampleOrBuilder
-
.tensorflow.Features context = 1;
- getContextOrBuilder() - 类 中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder
-
.tensorflow.Example context = 2;
- getContextOrBuilder() - 类 中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext
-
.tensorflow.Example context = 2;
- getContextOrBuilder() - 接口 中的方法tensorflow.serving.InputOuterClass.ExampleListWithContextOrBuilder
-
.tensorflow.Example context = 2;
- getControlInput(int) - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
-
Ids of the control inputs for this node.
- getControlInput(int) - 类 中的方法org.tensorflow.framework.CostGraphDef.Node
-
Ids of the control inputs for this node.
- getControlInput(int) - 接口 中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
Ids of the control inputs for this node.
- getControlInputCount() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
-
Ids of the control inputs for this node.
- getControlInputCount() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node
-
Ids of the control inputs for this node.
- getControlInputCount() - 接口 中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
Ids of the control inputs for this node.
- getControlInputList() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
-
Ids of the control inputs for this node.
- getControlInputList() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node
-
Ids of the control inputs for this node.
- getControlInputList() - 接口 中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
Ids of the control inputs for this node.
- getControlOpIds(int) - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
Control Operation IDs that will be respected when ops are re-ordered by
async execution.
- getControlOpIds(int) - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation
-
Control Operation IDs that will be respected when ops are re-ordered by
async execution.
- getControlOpIds(int) - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder
-
Control Operation IDs that will be respected when ops are re-ordered by
async execution.
- getControlOpIdsCount() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
Control Operation IDs that will be respected when ops are re-ordered by
async execution.
- getControlOpIdsCount() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation
-
Control Operation IDs that will be respected when ops are re-ordered by
async execution.
- getControlOpIdsCount() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder
-
Control Operation IDs that will be respected when ops are re-ordered by
async execution.
- getControlOpIdsList() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
Control Operation IDs that will be respected when ops are re-ordered by
async execution.
- getControlOpIdsList() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation
-
Control Operation IDs that will be respected when ops are re-ordered by
async execution.
- getControlOpIdsList() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder
-
Control Operation IDs that will be respected when ops are re-ordered by
async execution.
- getCooSparse() - 类 中的方法org.tensorflow.framework.TensorInfo.Builder
-
There are many possible encodings of sparse matrices
(https://en.wikipedia.org/wiki/Sparse_matrix).
- getCooSparse() - 类 中的方法org.tensorflow.framework.TensorInfo
-
There are many possible encodings of sparse matrices
(https://en.wikipedia.org/wiki/Sparse_matrix).
- getCooSparse() - 接口 中的方法org.tensorflow.framework.TensorInfoOrBuilder
-
There are many possible encodings of sparse matrices
(https://en.wikipedia.org/wiki/Sparse_matrix).
- getCooSparseBuilder() - 类 中的方法org.tensorflow.framework.TensorInfo.Builder
-
There are many possible encodings of sparse matrices
(https://en.wikipedia.org/wiki/Sparse_matrix).
- getCooSparseOrBuilder() - 类 中的方法org.tensorflow.framework.TensorInfo.Builder
-
There are many possible encodings of sparse matrices
(https://en.wikipedia.org/wiki/Sparse_matrix).
- getCooSparseOrBuilder() - 类 中的方法org.tensorflow.framework.TensorInfo
-
There are many possible encodings of sparse matrices
(https://en.wikipedia.org/wiki/Sparse_matrix).
- getCooSparseOrBuilder() - 接口 中的方法org.tensorflow.framework.TensorInfoOrBuilder
-
There are many possible encodings of sparse matrices
(https://en.wikipedia.org/wiki/Sparse_matrix).
- getCostGraph() - 类 中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
-
.tensorflow.CostGraphDef cost_graph = 3;
- getCostGraph() - 类 中的方法org.tensorflow.distruntime.RunGraphResponse
-
.tensorflow.CostGraphDef cost_graph = 3;
- getCostGraph() - 接口 中的方法org.tensorflow.distruntime.RunGraphResponseOrBuilder
-
.tensorflow.CostGraphDef cost_graph = 3;
- getCostGraph() - 类 中的方法org.tensorflow.framework.RunMetadata.Builder
-
The cost graph for the computation defined by the run call.
- getCostGraph() - 类 中的方法org.tensorflow.framework.RunMetadata
-
The cost graph for the computation defined by the run call.
- getCostGraph() - 接口 中的方法org.tensorflow.framework.RunMetadataOrBuilder
-
The cost graph for the computation defined by the run call.
- getCostGraphBuilder() - 类 中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
-
.tensorflow.CostGraphDef cost_graph = 3;
- getCostGraphBuilder() - 类 中的方法org.tensorflow.framework.RunMetadata.Builder
-
The cost graph for the computation defined by the run call.
- getCostGraphOrBuilder() - 类 中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
-
.tensorflow.CostGraphDef cost_graph = 3;
- getCostGraphOrBuilder() - 类 中的方法org.tensorflow.distruntime.RunGraphResponse
-
.tensorflow.CostGraphDef cost_graph = 3;
- getCostGraphOrBuilder() - 接口 中的方法org.tensorflow.distruntime.RunGraphResponseOrBuilder
-
.tensorflow.CostGraphDef cost_graph = 3;
- getCostGraphOrBuilder() - 类 中的方法org.tensorflow.framework.RunMetadata.Builder
-
The cost graph for the computation defined by the run call.
- getCostGraphOrBuilder() - 类 中的方法org.tensorflow.framework.RunMetadata
-
The cost graph for the computation defined by the run call.
- getCostGraphOrBuilder() - 接口 中的方法org.tensorflow.framework.RunMetadataOrBuilder
-
The cost graph for the computation defined by the run call.
- getCrc32C() - 类 中的方法org.tensorflow.util.BundleEntryProto.Builder
-
The CRC32C checksum of the tensor bytes.
- getCrc32C() - 类 中的方法org.tensorflow.util.BundleEntryProto
-
The CRC32C checksum of the tensor bytes.
- getCrc32C() - 接口 中的方法org.tensorflow.util.BundleEntryProtoOrBuilder
-
The CRC32C checksum of the tensor bytes.
- getCreateContextMethod() - 类 中的静态方法tensorflow.eager.EagerServiceGrpc
-
- getCreateSessionMethod() - 类 中的静态方法org.tensorflow.distruntime.MasterServiceGrpc
-
- getCreateWorkerSessionCalled() - 类 中的方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder
-
Set to true if `CreateWorkerSession` was called for `session_handle`.
- getCreateWorkerSessionCalled() - 类 中的方法org.tensorflow.distruntime.DeregisterGraphRequest
-
Set to true if `CreateWorkerSession` was called for `session_handle`.
- getCreateWorkerSessionCalled() - 接口 中的方法org.tensorflow.distruntime.DeregisterGraphRequestOrBuilder
-
Set to true if `CreateWorkerSession` was called for `session_handle`.
- getCreateWorkerSessionCalled() - 类 中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
Set to true if `CreateWorkerSession` was called for `session_handle`.
- getCreateWorkerSessionCalled() - 类 中的方法org.tensorflow.distruntime.RegisterGraphRequest
-
Set to true if `CreateWorkerSession` was called for `session_handle`.
- getCreateWorkerSessionCalled() - 接口 中的方法org.tensorflow.distruntime.RegisterGraphRequestOrBuilder
-
Set to true if `CreateWorkerSession` was called for `session_handle`.
- getCreateWorkerSessionCalled() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
-
Set to true if `CreateWorkerSession` was called for `session_handle`.
- getCreateWorkerSessionCalled() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest
-
Set to true if `CreateWorkerSession` was called for `session_handle`.
- getCreateWorkerSessionCalled() - 接口 中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
Set to true if `CreateWorkerSession` was called for `session_handle`.
- getCreateWorkerSessionMethod() - 类 中的静态方法org.tensorflow.distruntime.WorkerServiceGrpc
-
- getCriticalSectionName() - 类 中的方法org.tensorflow.framework.CriticalSectionDef.Builder
-
Name of the critical section handle.
- getCriticalSectionName() - 类 中的方法org.tensorflow.framework.CriticalSectionDef
-
Name of the critical section handle.
- getCriticalSectionName() - 接口 中的方法org.tensorflow.framework.CriticalSectionDefOrBuilder
-
Name of the critical section handle.
- getCriticalSectionNameBytes() - 类 中的方法org.tensorflow.framework.CriticalSectionDef.Builder
-
Name of the critical section handle.
- getCriticalSectionNameBytes() - 类 中的方法org.tensorflow.framework.CriticalSectionDef
-
Name of the critical section handle.
- getCriticalSectionNameBytes() - 接口 中的方法org.tensorflow.framework.CriticalSectionDefOrBuilder
-
Name of the critical section handle.
- getCtxtCase() - 类 中的方法org.tensorflow.framework.ControlFlowContextDef.Builder
-
- getCtxtCase() - 类 中的方法org.tensorflow.framework.ControlFlowContextDef
-
- getCtxtCase() - 接口 中的方法org.tensorflow.framework.ControlFlowContextDefOrBuilder
-
- getCurrentGraphVersion() - 类 中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder
-
REQUIRED: The version number of the graph to be extended.
- getCurrentGraphVersion() - 类 中的方法org.tensorflow.distruntime.ExtendSessionRequest
-
REQUIRED: The version number of the graph to be extended.
- getCurrentGraphVersion() - 接口 中的方法org.tensorflow.distruntime.ExtendSessionRequestOrBuilder
-
REQUIRED: The version number of the graph to be extended.
- getCurrentWork() - 类 中的方法org.tensorflow.framework.ReaderBaseState.Builder
-
bytes current_work = 4;
- getCurrentWork() - 类 中的方法org.tensorflow.framework.ReaderBaseState
-
bytes current_work = 4;
- getCurrentWork() - 接口 中的方法org.tensorflow.framework.ReaderBaseStateOrBuilder
-
bytes current_work = 4;
- getCustomCa() - 类 中的方法tensorflow.serving.SslConfig.SSLConfig.Builder
-
custom certificate authority
string custom_ca = 3;
- getCustomCa() - 类 中的方法tensorflow.serving.SslConfig.SSLConfig
-
custom certificate authority
string custom_ca = 3;
- getCustomCa() - 接口 中的方法tensorflow.serving.SslConfig.SSLConfigOrBuilder
-
custom certificate authority
string custom_ca = 3;
- getCustomCaBytes() - 类 中的方法tensorflow.serving.SslConfig.SSLConfig.Builder
-
custom certificate authority
string custom_ca = 3;
- getCustomCaBytes() - 类 中的方法tensorflow.serving.SslConfig.SSLConfig
-
custom certificate authority
string custom_ca = 3;
- getCustomCaBytes() - 接口 中的方法tensorflow.serving.SslConfig.SSLConfigOrBuilder
-
custom certificate authority
string custom_ca = 3;
- getCustomModelConfig() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder
-
.google.protobuf.Any custom_model_config = 2;
- getCustomModelConfig() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
-
.google.protobuf.Any custom_model_config = 2;
- getCustomModelConfig() - 接口 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfigOrBuilder
-
.google.protobuf.Any custom_model_config = 2;
- getCustomModelConfigBuilder() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder
-
.google.protobuf.Any custom_model_config = 2;
- getCustomModelConfigOrBuilder() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder
-
.google.protobuf.Any custom_model_config = 2;
- getCustomModelConfigOrBuilder() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
-
.google.protobuf.Any custom_model_config = 2;
- getCustomModelConfigOrBuilder() - 接口 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfigOrBuilder
-
.google.protobuf.Any custom_model_config = 2;
- getCustomOptimizers(int) - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
list of CustomGraphOptimizers to apply.
- getCustomOptimizers(int) - 类 中的方法org.tensorflow.framework.RewriterConfig
-
list of CustomGraphOptimizers to apply.
- getCustomOptimizers(int) - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
list of CustomGraphOptimizers to apply.
- getCustomOptimizersBuilder(int) - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
list of CustomGraphOptimizers to apply.
- getCustomOptimizersBuilderList() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
list of CustomGraphOptimizers to apply.
- getCustomOptimizersCount() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
list of CustomGraphOptimizers to apply.
- getCustomOptimizersCount() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
list of CustomGraphOptimizers to apply.
- getCustomOptimizersCount() - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
list of CustomGraphOptimizers to apply.
- getCustomOptimizersList() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
list of CustomGraphOptimizers to apply.
- getCustomOptimizersList() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
list of CustomGraphOptimizers to apply.
- getCustomOptimizersList() - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
list of CustomGraphOptimizers to apply.
- getCustomOptimizersOrBuilder(int) - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
list of CustomGraphOptimizers to apply.
- getCustomOptimizersOrBuilder(int) - 类 中的方法org.tensorflow.framework.RewriterConfig
-
list of CustomGraphOptimizers to apply.
- getCustomOptimizersOrBuilder(int) - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
list of CustomGraphOptimizers to apply.
- getCustomOptimizersOrBuilderList() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
list of CustomGraphOptimizers to apply.
- getCustomOptimizersOrBuilderList() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
list of CustomGraphOptimizers to apply.
- getCustomOptimizersOrBuilderList() - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
list of CustomGraphOptimizers to apply.
- getData() - 类 中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
bytes data = 4;
- getData() - 类 中的方法org.tensorflow.framework.GraphTransferConstNodeInfo
-
bytes data = 4;
- getData() - 接口 中的方法org.tensorflow.framework.GraphTransferConstNodeInfoOrBuilder
-
bytes data = 4;
- getDataType() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
.tensorflow.DataType data_type = 3;
- getDataType() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest
-
.tensorflow.DataType data_type = 3;
- getDataType() - 接口 中的方法org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder
-
.tensorflow.DataType data_type = 3;
- getDataTypeValue() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
.tensorflow.DataType data_type = 3;
- getDataTypeValue() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest
-
.tensorflow.DataType data_type = 3;
- getDataTypeValue() - 接口 中的方法org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder
-
.tensorflow.DataType data_type = 3;
- getDcomplexVal(int) - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real
and imaginary parts of i-th double precision complex.
- getDcomplexVal(int) - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real
and imaginary parts of i-th double precision complex.
- getDcomplexVal(int) - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real
and imaginary parts of i-th double precision complex.
- getDcomplexValCount() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real
and imaginary parts of i-th double precision complex.
- getDcomplexValCount() - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real
and imaginary parts of i-th double precision complex.
- getDcomplexValCount() - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real
and imaginary parts of i-th double precision complex.
- getDcomplexValList() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real
and imaginary parts of i-th double precision complex.
- getDcomplexValList() - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real
and imaginary parts of i-th double precision complex.
- getDcomplexValList() - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real
and imaginary parts of i-th double precision complex.
- getDebugOps(int) - 类 中的方法org.tensorflow.framework.DebugTensorWatch.Builder
-
Name(s) of the debugging op(s).
- getDebugOps(int) - 类 中的方法org.tensorflow.framework.DebugTensorWatch
-
Name(s) of the debugging op(s).
- getDebugOps(int) - 接口 中的方法org.tensorflow.framework.DebugTensorWatchOrBuilder
-
Name(s) of the debugging op(s).
- getDebugOpsBytes(int) - 类 中的方法org.tensorflow.framework.DebugTensorWatch.Builder
-
Name(s) of the debugging op(s).
- getDebugOpsBytes(int) - 类 中的方法org.tensorflow.framework.DebugTensorWatch
-
Name(s) of the debugging op(s).
- getDebugOpsBytes(int) - 接口 中的方法org.tensorflow.framework.DebugTensorWatchOrBuilder
-
Name(s) of the debugging op(s).
- getDebugOpsCount() - 类 中的方法org.tensorflow.framework.DebugTensorWatch.Builder
-
Name(s) of the debugging op(s).
- getDebugOpsCount() - 类 中的方法org.tensorflow.framework.DebugTensorWatch
-
Name(s) of the debugging op(s).
- getDebugOpsCount() - 接口 中的方法org.tensorflow.framework.DebugTensorWatchOrBuilder
-
Name(s) of the debugging op(s).
- getDebugOpsList() - 类 中的方法org.tensorflow.framework.DebugTensorWatch.Builder
-
Name(s) of the debugging op(s).
- getDebugOpsList() - 类 中的方法org.tensorflow.framework.DebugTensorWatch
-
Name(s) of the debugging op(s).
- getDebugOpsList() - 接口 中的方法org.tensorflow.framework.DebugTensorWatchOrBuilder
-
Name(s) of the debugging op(s).
- getDebugOptions() - 类 中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
Field(s) used by TensorFlow Debugger (tfdbg).
- getDebugOptions() - 类 中的方法org.tensorflow.distruntime.RegisterGraphRequest
-
Field(s) used by TensorFlow Debugger (tfdbg).
- getDebugOptions() - 接口 中的方法org.tensorflow.distruntime.RegisterGraphRequestOrBuilder
-
Field(s) used by TensorFlow Debugger (tfdbg).
- getDebugOptions() - 类 中的方法org.tensorflow.framework.RunOptions.Builder
-
EXPERIMENTAL.
- getDebugOptions() - 类 中的方法org.tensorflow.framework.RunOptions
-
EXPERIMENTAL.
- getDebugOptions() - 接口 中的方法org.tensorflow.framework.RunOptionsOrBuilder
-
EXPERIMENTAL.
- getDebugOptionsBuilder() - 类 中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
Field(s) used by TensorFlow Debugger (tfdbg).
- getDebugOptionsBuilder() - 类 中的方法org.tensorflow.framework.RunOptions.Builder
-
EXPERIMENTAL.
- getDebugOptionsOrBuilder() - 类 中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
Field(s) used by TensorFlow Debugger (tfdbg).
- getDebugOptionsOrBuilder() - 类 中的方法org.tensorflow.distruntime.RegisterGraphRequest
-
Field(s) used by TensorFlow Debugger (tfdbg).
- getDebugOptionsOrBuilder() - 接口 中的方法org.tensorflow.distruntime.RegisterGraphRequestOrBuilder
-
Field(s) used by TensorFlow Debugger (tfdbg).
- getDebugOptionsOrBuilder() - 类 中的方法org.tensorflow.framework.RunOptions.Builder
-
EXPERIMENTAL.
- getDebugOptionsOrBuilder() - 类 中的方法org.tensorflow.framework.RunOptions
-
EXPERIMENTAL.
- getDebugOptionsOrBuilder() - 接口 中的方法org.tensorflow.framework.RunOptionsOrBuilder
-
EXPERIMENTAL.
- getDebugStripper() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
Strips debug-related nodes from the graph (off by default).
- getDebugStripper() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
Strips debug-related nodes from the graph (off by default).
- getDebugStripper() - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
Strips debug-related nodes from the graph (off by default).
- getDebugStripperValue() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
Strips debug-related nodes from the graph (off by default).
- getDebugStripperValue() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
Strips debug-related nodes from the graph (off by default).
- getDebugStripperValue() - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
Strips debug-related nodes from the graph (off by default).
- getDebugTensorWatchOpts(int) - 类 中的方法org.tensorflow.framework.DebugOptions.Builder
-
Debugging options
repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
- getDebugTensorWatchOpts(int) - 类 中的方法org.tensorflow.framework.DebugOptions
-
Debugging options
repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
- getDebugTensorWatchOpts(int) - 接口 中的方法org.tensorflow.framework.DebugOptionsOrBuilder
-
Debugging options
repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
- getDebugTensorWatchOptsBuilder(int) - 类 中的方法org.tensorflow.framework.DebugOptions.Builder
-
Debugging options
repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
- getDebugTensorWatchOptsBuilderList() - 类 中的方法org.tensorflow.framework.DebugOptions.Builder
-
Debugging options
repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
- getDebugTensorWatchOptsCount() - 类 中的方法org.tensorflow.framework.DebugOptions.Builder
-
Debugging options
repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
- getDebugTensorWatchOptsCount() - 类 中的方法org.tensorflow.framework.DebugOptions
-
Debugging options
repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
- getDebugTensorWatchOptsCount() - 接口 中的方法org.tensorflow.framework.DebugOptionsOrBuilder
-
Debugging options
repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
- getDebugTensorWatchOptsList() - 类 中的方法org.tensorflow.framework.DebugOptions.Builder
-
Debugging options
repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
- getDebugTensorWatchOptsList() - 类 中的方法org.tensorflow.framework.DebugOptions
-
Debugging options
repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
- getDebugTensorWatchOptsList() - 接口 中的方法org.tensorflow.framework.DebugOptionsOrBuilder
-
Debugging options
repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
- getDebugTensorWatchOptsOrBuilder(int) - 类 中的方法org.tensorflow.framework.DebugOptions.Builder
-
Debugging options
repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
- getDebugTensorWatchOptsOrBuilder(int) - 类 中的方法org.tensorflow.framework.DebugOptions
-
Debugging options
repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
- getDebugTensorWatchOptsOrBuilder(int) - 接口 中的方法org.tensorflow.framework.DebugOptionsOrBuilder
-
Debugging options
repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
- getDebugTensorWatchOptsOrBuilderList() - 类 中的方法org.tensorflow.framework.DebugOptions.Builder
-
Debugging options
repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
- getDebugTensorWatchOptsOrBuilderList() - 类 中的方法org.tensorflow.framework.DebugOptions
-
Debugging options
repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
- getDebugTensorWatchOptsOrBuilderList() - 接口 中的方法org.tensorflow.framework.DebugOptionsOrBuilder
-
Debugging options
repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
- getDebugUrls(int) - 类 中的方法org.tensorflow.framework.DebugTensorWatch.Builder
-
URL(s) for debug targets(s).
- getDebugUrls(int) - 类 中的方法org.tensorflow.framework.DebugTensorWatch
-
URL(s) for debug targets(s).
- getDebugUrls(int) - 接口 中的方法org.tensorflow.framework.DebugTensorWatchOrBuilder
-
URL(s) for debug targets(s).
- getDebugUrlsBytes(int) - 类 中的方法org.tensorflow.framework.DebugTensorWatch.Builder
-
URL(s) for debug targets(s).
- getDebugUrlsBytes(int) - 类 中的方法org.tensorflow.framework.DebugTensorWatch
-
URL(s) for debug targets(s).
- getDebugUrlsBytes(int) - 接口 中的方法org.tensorflow.framework.DebugTensorWatchOrBuilder
-
URL(s) for debug targets(s).
- getDebugUrlsCount() - 类 中的方法org.tensorflow.framework.DebugTensorWatch.Builder
-
URL(s) for debug targets(s).
- getDebugUrlsCount() - 类 中的方法org.tensorflow.framework.DebugTensorWatch
-
URL(s) for debug targets(s).
- getDebugUrlsCount() - 接口 中的方法org.tensorflow.framework.DebugTensorWatchOrBuilder
-
URL(s) for debug targets(s).
- getDebugUrlsList() - 类 中的方法org.tensorflow.framework.DebugTensorWatch.Builder
-
URL(s) for debug targets(s).
- getDebugUrlsList() - 类 中的方法org.tensorflow.framework.DebugTensorWatch
-
URL(s) for debug targets(s).
- getDebugUrlsList() - 接口 中的方法org.tensorflow.framework.DebugTensorWatchOrBuilder
-
URL(s) for debug targets(s).
- getDefaultGraphInputTensorShape(int) - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
- getDefaultGraphInputTensorShape(int) - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
- getDefaultGraphInputTensorShape(int) - 接口 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
- getDefaultGraphInputTensorShapeBuilder(int) - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
- getDefaultGraphInputTensorShapeBuilderList() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
- getDefaultGraphInputTensorShapeCount() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
- getDefaultGraphInputTensorShapeCount() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
- getDefaultGraphInputTensorShapeCount() - 接口 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
- getDefaultGraphInputTensorShapeList() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
- getDefaultGraphInputTensorShapeList() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
- getDefaultGraphInputTensorShapeList() - 接口 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
- getDefaultGraphInputTensorShapeOrBuilder(int) - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
- getDefaultGraphInputTensorShapeOrBuilder(int) - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
- getDefaultGraphInputTensorShapeOrBuilder(int) - 接口 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
- getDefaultGraphInputTensorShapeOrBuilderList() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
- getDefaultGraphInputTensorShapeOrBuilderList() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
- getDefaultGraphInputTensorShapeOrBuilderList() - 接口 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
- getDefaultGraphOutputTensorShape(int) - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
- getDefaultGraphOutputTensorShape(int) - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
- getDefaultGraphOutputTensorShape(int) - 接口 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
- getDefaultGraphOutputTensorShapeBuilder(int) - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
- getDefaultGraphOutputTensorShapeBuilderList() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
- getDefaultGraphOutputTensorShapeCount() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
- getDefaultGraphOutputTensorShapeCount() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
- getDefaultGraphOutputTensorShapeCount() - 接口 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
- getDefaultGraphOutputTensorShapeList() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
- getDefaultGraphOutputTensorShapeList() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
- getDefaultGraphOutputTensorShapeList() - 接口 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
- getDefaultGraphOutputTensorShapeOrBuilder(int) - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
- getDefaultGraphOutputTensorShapeOrBuilder(int) - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
- getDefaultGraphOutputTensorShapeOrBuilder(int) - 接口 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
- getDefaultGraphOutputTensorShapeOrBuilderList() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
- getDefaultGraphOutputTensorShapeOrBuilderList() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
- getDefaultGraphOutputTensorShapeOrBuilderList() - 接口 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.CleanupAllRequest
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.CleanupAllResponse
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.CleanupGraphRequest
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.CleanupGraphResponse
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.CloseSessionRequest
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.CloseSessionResponse
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.ClusterDef
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.CompleteGroupRequest
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.CompleteGroupResponse
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.CompleteInstanceRequest
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.CompleteInstanceResponse
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.CreateSessionRequest
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.CreateSessionResponse
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.CreateWorkerSessionRequest
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.CreateWorkerSessionResponse
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionRequest
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionResponse
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.DeregisterGraphRequest
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.DeregisterGraphResponse
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.ExecutorOpts
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.ExtendSessionRequest
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.ExtendSessionResponse
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.GetStatusRequest
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.GetStatusResponse
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.GetStepSequenceRequest
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.GetStepSequenceResponse
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.JobDef
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.LabeledStepStats
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.ListDevicesRequest
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.ListDevicesResponse
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.LoggingRequest
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.LoggingResponse
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.MakeCallableRequest
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.MakeCallableResponse
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.PartialRunSetupRequest
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.PartialRunSetupResponse
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.RecvBufRequest
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.RecvBufResponse
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.RecvTensorRequest
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.RecvTensorResponse
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.RegisterGraphRequest
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.RegisterGraphResponse
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.ReleaseCallableRequest
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.ReleaseCallableResponse
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.ResetRequest
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.ResetResponse
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.RunCallableRequest
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.RunCallableResponse
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.RunGraphRequest
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.RunGraphResponse
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.RunStepRequest
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.RunStepResponse
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.ServerDef
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.StepSequence
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.TraceOpts
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.TracingRequest
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.distruntime.TracingResponse
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.example.BytesList
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.example.Example
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.example.ExampleParserConfiguration
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.example.Feature
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.example.FeatureConfiguration
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.example.FeatureList
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.example.FeatureLists
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.example.Features
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.example.FixedLenFeatureProto
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.example.FloatList
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.example.Int64List
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.example.SequenceExample
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.example.VarLenFeatureProto
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.AllocationDescription
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.AllocationRecord
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.AllocatorMemoryUsed
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.ApiDef.Arg
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.ApiDef.Attr
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.ApiDef.Endpoint
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.ApiDef
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.ApiDefs
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.AssetFileDef
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.AttrValue
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.AttrValue.ListValue
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.AutoParallelOptions
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.CallableOptions
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.CollectionDef.AnyList
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.CollectionDef.BytesList
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.CollectionDef.FloatList
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.CollectionDef
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.CollectionDef.Int64List
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.CollectionDef.NodeList
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.CondContextDef
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.ConfigProto.Experimental
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.ConfigProto
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.ControlFlowContextDef
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.CostGraphDef
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.CostGraphDef.Node
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.CostGraphDef.Node.InputInfo
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.CriticalSectionDef
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.CriticalSectionExecutionDef
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.DebuggedSourceFile
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.DebuggedSourceFiles
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.DebugOptions
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.DebugTensorWatch
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.DeviceAttributes
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.DeviceLocality
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.DeviceStepStats
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.FunctionDef
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.FunctionDefLibrary
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.GPUOptions.Experimental
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.GPUOptions
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.GradientDef
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.GraphDef
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.GraphOptions
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.GraphTransferConstNodeInfo
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.GraphTransferInfo
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.GraphTransferNodeInfo
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.GraphTransferNodeInput
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.GraphTransferNodeInputInfo
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.GraphTransferNodeOutputInfo
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.HistogramProto
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.InterconnectLink
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.KernelDef.AttrConstraint
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.KernelDef
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.KernelList
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.LocalLinks
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.MemoryLogRawAllocation
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.MemoryLogRawDeallocation
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.MemoryLogStep
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.MemoryLogTensorAllocation
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.MemoryLogTensorDeallocation
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.MemoryLogTensorOutput
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.MemoryStats
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.MetaGraphDef
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.NameAttrList
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.NamedTensorProto
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.NodeDef
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.NodeExecStats
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.NodeOutput
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.OpDef.ArgDef
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.OpDef.AttrDef
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.OpDef
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.OpDeprecation
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.OpList
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.OptimizerOptions
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.QueueRunnerDef
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.ReaderBaseState
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.ResourceHandleProto
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.RewriterConfig
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.RPCOptions
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.RunMetadata
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.RunOptions.Experimental
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.RunOptions
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.SavedModel
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.SaveSliceInfoDef
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.ScopedAllocatorOptions
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.SignatureDef
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.StepStats
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.Summary.Audio
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.Summary
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.Summary.Image
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.Summary.Value
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.SummaryDescription
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.SummaryMetadata
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.SummaryMetadata.PluginData
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.TensorConnection
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.TensorDescription
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.TensorInfo.CooSparse
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.TensorInfo
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.TensorProto
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.TensorShapeProto.Dim
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.TensorShapeProto
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.TensorSliceProto.Extent
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.TensorSliceProto
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.ThreadPoolOptionProto
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.ValuesDef
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.VariableDef
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.VariantTensorDataProto
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.VersionDef
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.framework.WhileContextDef
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.util.BundleEntryProto
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.util.BundleHeaderProto
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.util.IteratorStateMetadata
-
- getDefaultInstance() - 类 中的静态方法org.tensorflow.util.SaverDef
-
- getDefaultInstance() - 类 中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
- getDefaultInstance() - 类 中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
-
- getDefaultInstance() - 类 中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
-
- getDefaultInstance() - 类 中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
-
- getDefaultInstance() - 类 中的静态方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
-
- getDefaultInstance() - 类 中的静态方法tensorflow.DevicePropertiesProtos.DeviceProperties
-
- getDefaultInstance() - 类 中的静态方法tensorflow.DevicePropertiesProtos.NamedDevice
-
- getDefaultInstance() - 类 中的静态方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
-
- getDefaultInstance() - 类 中的静态方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
-
- getDefaultInstance() - 类 中的静态方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
-
- getDefaultInstance() - 类 中的静态方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
-
- getDefaultInstance() - 类 中的静态方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
-
- getDefaultInstance() - 类 中的静态方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
-
- getDefaultInstance() - 类 中的静态方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
-
- getDefaultInstance() - 类 中的静态方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
-
- getDefaultInstance() - 类 中的静态方法tensorflow.eager.EagerServiceOuterClass.Operation
-
- getDefaultInstance() - 类 中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueItem
-
- getDefaultInstance() - 类 中的静态方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
-
- getDefaultInstance() - 类 中的静态方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
-
- getDefaultInstance() - 类 中的静态方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
-
- getDefaultInstance() - 类 中的静态方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
-
- getDefaultInstance() - 类 中的静态方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
-
- getDefaultInstance() - 类 中的静态方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse
-
- getDefaultInstance() - 类 中的静态方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
-
- getDefaultInstance() - 类 中的静态方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.Classification.Class
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.Classification.ClassificationRequest
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.Classification.ClassificationResponse
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.Classification.ClassificationResult
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.Classification.Classifications
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.GetModelMetadata.SignatureDefMap
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.GetModelStatus.GetModelStatusRequest
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.GetModelStatus.ModelVersionStatus
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.Inference.InferenceResult
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.Inference.InferenceTask
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.Inference.MultiInferenceRequest
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.Inference.MultiInferenceResponse
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.InputOuterClass.ExampleList
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.InputOuterClass.ExampleListWithContext
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.InputOuterClass.Input
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.Logging.LogMetadata
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.Model.ModelSpec
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.ModelManagement.ReloadConfigRequest
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.ModelManagement.ReloadConfigResponse
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.Predict.PredictRequest
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.Predict.PredictResponse
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.PredictionLogOuterClass.PredictLog
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.PredictionLogOuterClass.RegressLog
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.RegressionOuterClass.Regression
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.RegressionOuterClass.RegressionRequest
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.RegressionOuterClass.RegressionResponse
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.RegressionOuterClass.RegressionResult
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.SslConfig.SSLConfig
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
-
- getDefaultInstance() - 类 中的静态方法tensorflow.serving.Status.StatusProto
-
- getDefaultInstance() - 类 中的静态方法tensorflow.TransportOptions.RecvBufRespExtra
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.CleanupAllRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.CleanupAllRequest
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.CleanupAllResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.CleanupAllResponse
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.CleanupGraphRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.CleanupGraphRequest
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.CleanupGraphResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.CleanupGraphResponse
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.CloseSessionRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.CloseSessionRequest
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.CloseSessionResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.CloseSessionResponse
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.ClusterDef.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.ClusterDef
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.CompleteGroupRequest
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.CompleteGroupResponse
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceResponse
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.CreateSessionRequest
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.CreateSessionResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.CreateSessionResponse
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.CreateWorkerSessionResponse
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.DeleteWorkerSessionResponse
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.DeregisterGraphRequest
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.DeregisterGraphResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.DeregisterGraphResponse
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.ExecutorOpts.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.ExecutorOpts
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.ExtendSessionRequest
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.ExtendSessionResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.ExtendSessionResponse
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.GetStatusRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.GetStatusRequest
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.GetStatusResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.GetStatusResponse
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.GetStepSequenceRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.GetStepSequenceRequest
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.GetStepSequenceResponse
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.JobDef.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.JobDef
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.LabeledStepStats.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.LabeledStepStats
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.ListDevicesRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.ListDevicesRequest
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.ListDevicesResponse
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.LoggingRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.LoggingRequest
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.LoggingResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.LoggingResponse
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.MakeCallableRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.MakeCallableRequest
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.MakeCallableResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.MakeCallableResponse
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.PartialRunSetupRequest
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.PartialRunSetupResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.PartialRunSetupResponse
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.RecvBufResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.RecvBufResponse
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.RecvTensorRequest
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.RecvTensorResponse
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.RegisterGraphRequest
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.RegisterGraphResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.RegisterGraphResponse
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.ReleaseCallableRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.ReleaseCallableRequest
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.ReleaseCallableResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.ReleaseCallableResponse
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.ResetRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.ResetRequest
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.ResetResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.ResetResponse
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.RunCallableRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.RunCallableRequest
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.RunCallableResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.RunCallableResponse
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.RunGraphResponse
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.RunStepRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.RunStepRequest
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.RunStepResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.RunStepResponse
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.ServerDef.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.ServerDef
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.StepSequence.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.StepSequence
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.TraceOpts.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.TraceOpts
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.TracingRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.TracingRequest
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.TracingResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.distruntime.TracingResponse
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.example.BytesList.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.example.BytesList
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.example.Example.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.example.Example
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.example.ExampleParserConfiguration.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.example.ExampleParserConfiguration
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.example.Feature.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.example.Feature
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.example.FeatureConfiguration.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.example.FeatureConfiguration
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.example.FeatureList.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.example.FeatureList
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.example.FeatureLists.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.example.FeatureLists
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.example.Features.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.example.Features
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.example.FixedLenFeatureProto.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.example.FixedLenFeatureProto
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.example.FloatList.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.example.FloatList
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.example.Int64List.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.example.Int64List
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.example.SequenceExample.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.example.SequenceExample
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.example.VarLenFeatureProto.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.example.VarLenFeatureProto
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.AllocationDescription.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.AllocationDescription
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.AllocationRecord.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.AllocationRecord
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.AllocatorMemoryUsed
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.ApiDef.Arg.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.ApiDef.Arg
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.ApiDef.Attr.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.ApiDef.Attr
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.ApiDef.Endpoint.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.ApiDef.Endpoint
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.ApiDef
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.ApiDefs.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.ApiDefs
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.AssetFileDef.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.AssetFileDef
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.AttrValue.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.AttrValue
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.AutoParallelOptions.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.AutoParallelOptions
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.CallableOptions.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.CallableOptions
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.CollectionDef.AnyList
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.CollectionDef.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.CollectionDef.BytesList.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.CollectionDef.BytesList
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.CollectionDef.FloatList.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.CollectionDef.FloatList
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.CollectionDef
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.CollectionDef.Int64List.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.CollectionDef.Int64List
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.CollectionDef.NodeList.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.CollectionDef.NodeList
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.CondContextDef.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.CondContextDef
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.ConfigProto.Experimental.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.ConfigProto.Experimental
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.ConfigProto
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.ControlFlowContextDef.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.ControlFlowContextDef
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.CostGraphDef.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.CostGraphDef
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.CriticalSectionDef.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.CriticalSectionDef
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.CriticalSectionExecutionDef.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.CriticalSectionExecutionDef
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.DebuggedSourceFile.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.DebuggedSourceFile
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.DebuggedSourceFiles
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.DebugOptions.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.DebugOptions
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.DebugTensorWatch.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.DebugTensorWatch
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.DeviceAttributes.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.DeviceAttributes
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.DeviceLocality.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.DeviceLocality
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.DeviceStepStats.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.DeviceStepStats
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.FunctionDef.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.FunctionDef
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.FunctionDefLibrary.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.FunctionDefLibrary
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.GPUOptions.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.GPUOptions.Experimental
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.GPUOptions
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.GradientDef.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.GradientDef
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.GraphDef.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.GraphDef
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.GraphOptions.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.GraphOptions
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.GraphTransferConstNodeInfo
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.GraphTransferInfo
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInfo
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInput.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInput
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInputInfo
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.HistogramProto.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.HistogramProto
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.InterconnectLink.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.InterconnectLink
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.KernelDef.AttrConstraint
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.KernelDef.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.KernelDef
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.KernelList.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.KernelList
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.LocalLinks.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.LocalLinks
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.MemoryLogRawAllocation
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.MemoryLogRawDeallocation
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.MemoryLogStep.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.MemoryLogStep
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.MemoryLogTensorAllocation
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.MemoryLogTensorDeallocation
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.MemoryLogTensorOutput
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.MemoryStats.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.MemoryStats
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.MetaGraphDef.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.MetaGraphDef
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.NameAttrList.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.NameAttrList
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.NamedTensorProto.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.NamedTensorProto
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.NodeDef.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.NodeDef
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.NodeExecStats
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.NodeOutput.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.NodeOutput
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.OpDef.ArgDef.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.OpDef.ArgDef
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.OpDef.AttrDef.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.OpDef.AttrDef
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.OpDef.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.OpDef
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.OpDeprecation.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.OpDeprecation
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.OpList.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.OpList
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.OptimizerOptions.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.OptimizerOptions
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.QueueRunnerDef.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.QueueRunnerDef
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.ReaderBaseState.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.ReaderBaseState
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.ResourceHandleProto.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.ResourceHandleProto
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.RPCOptions.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.RPCOptions
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.RunMetadata.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.RunMetadata
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.RunOptions.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.RunOptions.Experimental.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.RunOptions.Experimental
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.RunOptions
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.SavedModel.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.SavedModel
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.SaveSliceInfoDef
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.ScopedAllocatorOptions.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.ScopedAllocatorOptions
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.SignatureDef.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.SignatureDef
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.StepStats.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.StepStats
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.Summary.Audio.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.Summary.Audio
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.Summary.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.Summary
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.Summary.Image.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.Summary.Image
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.Summary.Value.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.Summary.Value
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.SummaryDescription.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.SummaryDescription
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.SummaryMetadata.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.SummaryMetadata
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.SummaryMetadata.PluginData
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.TensorConnection.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.TensorConnection
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.TensorDescription.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.TensorDescription
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.TensorInfo.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.TensorInfo.CooSparse
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.TensorInfo
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.TensorProto
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.TensorShapeProto.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.TensorShapeProto.Dim
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.TensorShapeProto
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.TensorSliceProto.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.TensorSliceProto.Extent
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.TensorSliceProto
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.ThreadPoolOptionProto.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.ThreadPoolOptionProto
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.ValuesDef.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.ValuesDef
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.VariableDef.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.VariableDef
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.VariantTensorDataProto.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.VariantTensorDataProto
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.VersionDef.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.VersionDef
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.WhileContextDef.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.framework.WhileContextDef
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.util.BundleEntryProto.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.util.BundleEntryProto
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.util.BundleHeaderProto.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.util.BundleHeaderProto
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.util.IteratorStateMetadata.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.util.IteratorStateMetadata
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.util.SaverDef.Builder
-
- getDefaultInstanceForType() - 类 中的方法org.tensorflow.util.SaverDef
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.DevicePropertiesProtos.NamedDevice
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.Classification.Class.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.Classification.Class
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.Classification.ClassificationRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.Classification.ClassificationRequest
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.Classification.ClassificationResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.Classification.ClassificationResponse
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.Classification.ClassificationResult.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.Classification.ClassificationResult
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.Classification.Classifications.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.Classification.Classifications
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.Inference.InferenceResult.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.Inference.InferenceResult
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.Inference.InferenceTask.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.Inference.InferenceTask
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.Inference.MultiInferenceRequest
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.Inference.MultiInferenceResponse
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.InputOuterClass.ExampleList
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.InputOuterClass.Input.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.InputOuterClass.Input
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.Logging.LogMetadata.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.Logging.LogMetadata
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.Model.ModelSpec.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.Model.ModelSpec
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.Predict.PredictRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.Predict.PredictRequest
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.Predict.PredictResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.Predict.PredictResponse
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.RegressionOuterClass.Regression.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.RegressionOuterClass.Regression
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionResult
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.SslConfig.SSLConfig.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.SslConfig.SSLConfig
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.Status.StatusProto.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.serving.Status.StatusProto
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.TransportOptions.RecvBufRespExtra.Builder
-
- getDefaultInstanceForType() - 类 中的方法tensorflow.TransportOptions.RecvBufRespExtra
-
- getDefaultSessionConfig() - 类 中的方法org.tensorflow.distruntime.ServerDef.Builder
-
The default configuration for sessions that run on this server.
- getDefaultSessionConfig() - 类 中的方法org.tensorflow.distruntime.ServerDef
-
The default configuration for sessions that run on this server.
- getDefaultSessionConfig() - 接口 中的方法org.tensorflow.distruntime.ServerDefOrBuilder
-
The default configuration for sessions that run on this server.
- getDefaultSessionConfigBuilder() - 类 中的方法org.tensorflow.distruntime.ServerDef.Builder
-
The default configuration for sessions that run on this server.
- getDefaultSessionConfigOrBuilder() - 类 中的方法org.tensorflow.distruntime.ServerDef.Builder
-
The default configuration for sessions that run on this server.
- getDefaultSessionConfigOrBuilder() - 类 中的方法org.tensorflow.distruntime.ServerDef
-
The default configuration for sessions that run on this server.
- getDefaultSessionConfigOrBuilder() - 接口 中的方法org.tensorflow.distruntime.ServerDefOrBuilder
-
The default configuration for sessions that run on this server.
- getDefaultValue() - 类 中的方法org.tensorflow.example.FixedLenFeatureProto.Builder
-
.tensorflow.TensorProto default_value = 3;
- getDefaultValue() - 类 中的方法org.tensorflow.example.FixedLenFeatureProto
-
.tensorflow.TensorProto default_value = 3;
- getDefaultValue() - 接口 中的方法org.tensorflow.example.FixedLenFeatureProtoOrBuilder
-
.tensorflow.TensorProto default_value = 3;
- getDefaultValue() - 类 中的方法org.tensorflow.framework.ApiDef.Attr.Builder
-
Specify a new default value to use for this attr.
- getDefaultValue() - 类 中的方法org.tensorflow.framework.ApiDef.Attr
-
Specify a new default value to use for this attr.
- getDefaultValue() - 接口 中的方法org.tensorflow.framework.ApiDef.AttrOrBuilder
-
Specify a new default value to use for this attr.
- getDefaultValue() - 类 中的方法org.tensorflow.framework.OpDef.AttrDef.Builder
-
A reasonable default for this attribute if the user does not supply
a value.
- getDefaultValue() - 类 中的方法org.tensorflow.framework.OpDef.AttrDef
-
A reasonable default for this attribute if the user does not supply
a value.
- getDefaultValue() - 接口 中的方法org.tensorflow.framework.OpDef.AttrDefOrBuilder
-
A reasonable default for this attribute if the user does not supply
a value.
- getDefaultValueBuilder() - 类 中的方法org.tensorflow.example.FixedLenFeatureProto.Builder
-
.tensorflow.TensorProto default_value = 3;
- getDefaultValueBuilder() - 类 中的方法org.tensorflow.framework.ApiDef.Attr.Builder
-
Specify a new default value to use for this attr.
- getDefaultValueBuilder() - 类 中的方法org.tensorflow.framework.OpDef.AttrDef.Builder
-
A reasonable default for this attribute if the user does not supply
a value.
- getDefaultValueOrBuilder() - 类 中的方法org.tensorflow.example.FixedLenFeatureProto.Builder
-
.tensorflow.TensorProto default_value = 3;
- getDefaultValueOrBuilder() - 类 中的方法org.tensorflow.example.FixedLenFeatureProto
-
.tensorflow.TensorProto default_value = 3;
- getDefaultValueOrBuilder() - 接口 中的方法org.tensorflow.example.FixedLenFeatureProtoOrBuilder
-
.tensorflow.TensorProto default_value = 3;
- getDefaultValueOrBuilder() - 类 中的方法org.tensorflow.framework.ApiDef.Attr.Builder
-
Specify a new default value to use for this attr.
- getDefaultValueOrBuilder() - 类 中的方法org.tensorflow.framework.ApiDef.Attr
-
Specify a new default value to use for this attr.
- getDefaultValueOrBuilder() - 接口 中的方法org.tensorflow.framework.ApiDef.AttrOrBuilder
-
Specify a new default value to use for this attr.
- getDefaultValueOrBuilder() - 类 中的方法org.tensorflow.framework.OpDef.AttrDef.Builder
-
A reasonable default for this attribute if the user does not supply
a value.
- getDefaultValueOrBuilder() - 类 中的方法org.tensorflow.framework.OpDef.AttrDef
-
A reasonable default for this attribute if the user does not supply
a value.
- getDefaultValueOrBuilder() - 接口 中的方法org.tensorflow.framework.OpDef.AttrDefOrBuilder
-
A reasonable default for this attribute if the user does not supply
a value.
- getDeferred() - 类 中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
True if the deallocation is queued and will be performed later,
e.g. for GPU lazy freeing of buffers.
- getDeferred() - 类 中的方法org.tensorflow.framework.MemoryLogRawDeallocation
-
True if the deallocation is queued and will be performed later,
e.g. for GPU lazy freeing of buffers.
- getDeferred() - 接口 中的方法org.tensorflow.framework.MemoryLogRawDeallocationOrBuilder
-
True if the deallocation is queued and will be performed later,
e.g. for GPU lazy freeing of buffers.
- getDeferredDeletionBytes() - 类 中的方法org.tensorflow.framework.GPUOptions.Builder
-
Delay deletion of up to this many bytes to reduce the number of
interactions with gpu driver code.
- getDeferredDeletionBytes() - 类 中的方法org.tensorflow.framework.GPUOptions
-
Delay deletion of up to this many bytes to reduce the number of
interactions with gpu driver code.
- getDeferredDeletionBytes() - 接口 中的方法org.tensorflow.framework.GPUOptionsOrBuilder
-
Delay deletion of up to this many bytes to reduce the number of
interactions with gpu driver code.
- getDeleteWorkerSessionMethod() - 类 中的静态方法org.tensorflow.distruntime.WorkerServiceGrpc
-
- getDenseShapeTensorName() - 类 中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder
-
The dynamic logical shape represented by the SparseTensor is recorded in
the Tensor referenced here.
- getDenseShapeTensorName() - 类 中的方法org.tensorflow.framework.TensorInfo.CooSparse
-
The dynamic logical shape represented by the SparseTensor is recorded in
the Tensor referenced here.
- getDenseShapeTensorName() - 接口 中的方法org.tensorflow.framework.TensorInfo.CooSparseOrBuilder
-
The dynamic logical shape represented by the SparseTensor is recorded in
the Tensor referenced here.
- getDenseShapeTensorNameBytes() - 类 中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder
-
The dynamic logical shape represented by the SparseTensor is recorded in
the Tensor referenced here.
- getDenseShapeTensorNameBytes() - 类 中的方法org.tensorflow.framework.TensorInfo.CooSparse
-
The dynamic logical shape represented by the SparseTensor is recorded in
the Tensor referenced here.
- getDenseShapeTensorNameBytes() - 接口 中的方法org.tensorflow.framework.TensorInfo.CooSparseOrBuilder
-
The dynamic logical shape represented by the SparseTensor is recorded in
the Tensor referenced here.
- getDependencyOptimization() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
Control dependency optimizations (default is ON).
- getDependencyOptimization() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
Control dependency optimizations (default is ON).
- getDependencyOptimization() - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
Control dependency optimizations (default is ON).
- getDependencyOptimizationValue() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
Control dependency optimizations (default is ON).
- getDependencyOptimizationValue() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
Control dependency optimizations (default is ON).
- getDependencyOptimizationValue() - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
Control dependency optimizations (default is ON).
- getDeprecated() - 类 中的方法org.tensorflow.framework.ApiDef.Endpoint.Builder
-
Set if this endpoint is deprecated.
- getDeprecated() - 类 中的方法org.tensorflow.framework.ApiDef.Endpoint
-
Set if this endpoint is deprecated.
- getDeprecated() - 接口 中的方法org.tensorflow.framework.ApiDef.EndpointOrBuilder
-
Set if this endpoint is deprecated.
- getDeprecation() - 类 中的方法org.tensorflow.framework.OpDef.Builder
-
Optional deprecation based on GraphDef versions.
- getDeprecation() - 类 中的方法org.tensorflow.framework.OpDef
-
Optional deprecation based on GraphDef versions.
- getDeprecation() - 接口 中的方法org.tensorflow.framework.OpDefOrBuilder
-
Optional deprecation based on GraphDef versions.
- getDeprecationBuilder() - 类 中的方法org.tensorflow.framework.OpDef.Builder
-
Optional deprecation based on GraphDef versions.
- getDeprecationMessage() - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
If this op is deprecated, set deprecation message to the message
that should be logged when this op is used.
- getDeprecationMessage() - 类 中的方法org.tensorflow.framework.ApiDef
-
If this op is deprecated, set deprecation message to the message
that should be logged when this op is used.
- getDeprecationMessage() - 接口 中的方法org.tensorflow.framework.ApiDefOrBuilder
-
If this op is deprecated, set deprecation message to the message
that should be logged when this op is used.
- getDeprecationMessageBytes() - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
If this op is deprecated, set deprecation message to the message
that should be logged when this op is used.
- getDeprecationMessageBytes() - 类 中的方法org.tensorflow.framework.ApiDef
-
If this op is deprecated, set deprecation message to the message
that should be logged when this op is used.
- getDeprecationMessageBytes() - 接口 中的方法org.tensorflow.framework.ApiDefOrBuilder
-
If this op is deprecated, set deprecation message to the message
that should be logged when this op is used.
- getDeprecationOrBuilder() - 类 中的方法org.tensorflow.framework.OpDef.Builder
-
Optional deprecation based on GraphDef versions.
- getDeprecationOrBuilder() - 类 中的方法org.tensorflow.framework.OpDef
-
Optional deprecation based on GraphDef versions.
- getDeprecationOrBuilder() - 接口 中的方法org.tensorflow.framework.OpDefOrBuilder
-
Optional deprecation based on GraphDef versions.
- getDeregisterGraphMethod() - 类 中的静态方法org.tensorflow.distruntime.WorkerServiceGrpc
-
- getDescription() - 类 中的方法org.tensorflow.framework.ApiDef.Arg.Builder
-
Note: this will replace any inherited arg doc.
- getDescription() - 类 中的方法org.tensorflow.framework.ApiDef.Arg
-
Note: this will replace any inherited arg doc.
- getDescription() - 接口 中的方法org.tensorflow.framework.ApiDef.ArgOrBuilder
-
Note: this will replace any inherited arg doc.
- getDescription() - 类 中的方法org.tensorflow.framework.ApiDef.Attr.Builder
-
Note: this will replace any inherited attr doc, there is no current
way of modifying attr descriptions as can be done with op descriptions.
- getDescription() - 类 中的方法org.tensorflow.framework.ApiDef.Attr
-
Note: this will replace any inherited attr doc, there is no current
way of modifying attr descriptions as can be done with op descriptions.
- getDescription() - 接口 中的方法org.tensorflow.framework.ApiDef.AttrOrBuilder
-
Note: this will replace any inherited attr doc, there is no current
way of modifying attr descriptions as can be done with op descriptions.
- getDescription() - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
Additional, longer human-readable description of what the Op does.
- getDescription() - 类 中的方法org.tensorflow.framework.ApiDef
-
Additional, longer human-readable description of what the Op does.
- getDescription() - 接口 中的方法org.tensorflow.framework.ApiDefOrBuilder
-
Additional, longer human-readable description of what the Op does.
- getDescription() - 类 中的方法org.tensorflow.framework.OpDef.ArgDef.Builder
-
Human readable description.
- getDescription() - 类 中的方法org.tensorflow.framework.OpDef.ArgDef
-
Human readable description.
- getDescription() - 接口 中的方法org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
Human readable description.
- getDescription() - 类 中的方法org.tensorflow.framework.OpDef.AttrDef.Builder
-
Human-readable description.
- getDescription() - 类 中的方法org.tensorflow.framework.OpDef.AttrDef
-
Human-readable description.
- getDescription() - 接口 中的方法org.tensorflow.framework.OpDef.AttrDefOrBuilder
-
Human-readable description.
- getDescription() - 类 中的方法org.tensorflow.framework.OpDef.Builder
-
Additional, longer human-readable description of what the Op does.
- getDescription() - 类 中的方法org.tensorflow.framework.OpDef
-
Additional, longer human-readable description of what the Op does.
- getDescription() - 接口 中的方法org.tensorflow.framework.OpDefOrBuilder
-
Additional, longer human-readable description of what the Op does.
- getDescriptionBytes() - 类 中的方法org.tensorflow.framework.ApiDef.Arg.Builder
-
Note: this will replace any inherited arg doc.
- getDescriptionBytes() - 类 中的方法org.tensorflow.framework.ApiDef.Arg
-
Note: this will replace any inherited arg doc.
- getDescriptionBytes() - 接口 中的方法org.tensorflow.framework.ApiDef.ArgOrBuilder
-
Note: this will replace any inherited arg doc.
- getDescriptionBytes() - 类 中的方法org.tensorflow.framework.ApiDef.Attr.Builder
-
Note: this will replace any inherited attr doc, there is no current
way of modifying attr descriptions as can be done with op descriptions.
- getDescriptionBytes() - 类 中的方法org.tensorflow.framework.ApiDef.Attr
-
Note: this will replace any inherited attr doc, there is no current
way of modifying attr descriptions as can be done with op descriptions.
- getDescriptionBytes() - 接口 中的方法org.tensorflow.framework.ApiDef.AttrOrBuilder
-
Note: this will replace any inherited attr doc, there is no current
way of modifying attr descriptions as can be done with op descriptions.
- getDescriptionBytes() - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
Additional, longer human-readable description of what the Op does.
- getDescriptionBytes() - 类 中的方法org.tensorflow.framework.ApiDef
-
Additional, longer human-readable description of what the Op does.
- getDescriptionBytes() - 接口 中的方法org.tensorflow.framework.ApiDefOrBuilder
-
Additional, longer human-readable description of what the Op does.
- getDescriptionBytes() - 类 中的方法org.tensorflow.framework.OpDef.ArgDef.Builder
-
Human readable description.
- getDescriptionBytes() - 类 中的方法org.tensorflow.framework.OpDef.ArgDef
-
Human readable description.
- getDescriptionBytes() - 接口 中的方法org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
Human readable description.
- getDescriptionBytes() - 类 中的方法org.tensorflow.framework.OpDef.AttrDef.Builder
-
Human-readable description.
- getDescriptionBytes() - 类 中的方法org.tensorflow.framework.OpDef.AttrDef
-
Human-readable description.
- getDescriptionBytes() - 接口 中的方法org.tensorflow.framework.OpDef.AttrDefOrBuilder
-
Human-readable description.
- getDescriptionBytes() - 类 中的方法org.tensorflow.framework.OpDef.Builder
-
Additional, longer human-readable description of what the Op does.
- getDescriptionBytes() - 类 中的方法org.tensorflow.framework.OpDef
-
Additional, longer human-readable description of what the Op does.
- getDescriptionBytes() - 接口 中的方法org.tensorflow.framework.OpDefOrBuilder
-
Additional, longer human-readable description of what the Op does.
- getDescriptionPrefix() - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
Modify an existing/inherited description by adding text to the beginning
or end.
- getDescriptionPrefix() - 类 中的方法org.tensorflow.framework.ApiDef
-
Modify an existing/inherited description by adding text to the beginning
or end.
- getDescriptionPrefix() - 接口 中的方法org.tensorflow.framework.ApiDefOrBuilder
-
Modify an existing/inherited description by adding text to the beginning
or end.
- getDescriptionPrefixBytes() - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
Modify an existing/inherited description by adding text to the beginning
or end.
- getDescriptionPrefixBytes() - 类 中的方法org.tensorflow.framework.ApiDef
-
Modify an existing/inherited description by adding text to the beginning
or end.
- getDescriptionPrefixBytes() - 接口 中的方法org.tensorflow.framework.ApiDefOrBuilder
-
Modify an existing/inherited description by adding text to the beginning
or end.
- getDescriptionSuffix() - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
string description_suffix = 10;
- getDescriptionSuffix() - 类 中的方法org.tensorflow.framework.ApiDef
-
string description_suffix = 10;
- getDescriptionSuffix() - 接口 中的方法org.tensorflow.framework.ApiDefOrBuilder
-
string description_suffix = 10;
- getDescriptionSuffixBytes() - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
string description_suffix = 10;
- getDescriptionSuffixBytes() - 类 中的方法org.tensorflow.framework.ApiDef
-
string description_suffix = 10;
- getDescriptionSuffixBytes() - 接口 中的方法org.tensorflow.framework.ApiDefOrBuilder
-
string description_suffix = 10;
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.CleanupAllRequest.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.CleanupAllRequest
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.CleanupAllResponse.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.CleanupAllResponse
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.CleanupGraphRequest.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.CleanupGraphRequest
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.CleanupGraphResponse.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.CleanupGraphResponse
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.CloseSessionRequest.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.CloseSessionRequest
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.CloseSessionResponse.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.CloseSessionResponse
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.ClusterDef.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.ClusterDef
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.ClusterProtos
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.CompleteGroupRequest.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.CompleteGroupRequest
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.CompleteGroupResponse
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.CompleteInstanceRequest
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.CompleteInstanceResponse.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.CompleteInstanceResponse
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.CreateSessionRequest.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.CreateSessionRequest
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.CreateSessionResponse.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.CreateSessionResponse
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.CreateWorkerSessionRequest
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.CreateWorkerSessionResponse
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionRequest
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.DeleteWorkerSessionResponse
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.DeregisterGraphRequest
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.DeregisterGraphResponse.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.DeregisterGraphResponse
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.DistributedRuntimeProtos
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.ExecutorOpts.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.ExecutorOpts
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.ExtendSessionRequest.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.ExtendSessionRequest
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.ExtendSessionResponse.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.ExtendSessionResponse
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.GetStatusRequest.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.GetStatusRequest
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.GetStatusResponse.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.GetStatusResponse
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.GetStepSequenceRequest.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.GetStepSequenceRequest
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.GetStepSequenceResponse
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.JobDef.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.JobDef
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.LabeledStepStats.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.LabeledStepStats
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.ListDevicesRequest.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.ListDevicesRequest
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.ListDevicesResponse.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.ListDevicesResponse
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.LoggingRequest.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.LoggingRequest
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.LoggingResponse.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.LoggingResponse
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.MakeCallableRequest.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.MakeCallableRequest
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.MakeCallableResponse.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.MakeCallableResponse
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.MasterServiceProtos
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.PartialRunSetupRequest
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.PartialRunSetupResponse.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.PartialRunSetupResponse
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.RecvBufRequest.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.RecvBufRequest
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.RecvBufResponse.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.RecvBufResponse
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.RecvTensorRequest.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.RecvTensorRequest
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.RecvTensorResponse.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.RecvTensorResponse
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.RegisterGraphRequest
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.RegisterGraphResponse.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.RegisterGraphResponse
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.ReleaseCallableRequest.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.ReleaseCallableRequest
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.ReleaseCallableResponse.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.ReleaseCallableResponse
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.ResetRequest.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.ResetRequest
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.ResetResponse.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.ResetResponse
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.RunCallableRequest.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.RunCallableRequest
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.RunCallableResponse.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.RunCallableResponse
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.RunGraphRequest.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.RunGraphRequest
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.RunGraphResponse.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.RunGraphResponse
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.RunStepRequest.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.RunStepRequest
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.RunStepResponse.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.RunStepResponse
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.ServerDef.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.ServerDef
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.ServerProtos
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.StepSequence.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.StepSequence
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.TraceOpts.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.TraceOpts
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.TracingRequest.Builder
-
- getDescriptor() - 类 中的静态方法org.tensorflow.distruntime.TracingRequest
-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
- getDescriptor() - 类 中的静态方法tensorflow.serving.SslConfig.SSLConfig
-
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-
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-
- getDescriptor() - 类 中的静态方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
-
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-
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-
- getDescriptor() - 类 中的静态方法tensorflow.serving.Status.StatusProto
-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
- getDescriptorForType() - 类 中的方法org.tensorflow.distruntime.ExtendSessionResponse.Builder
-
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-
- getDescriptorForType() - 类 中的方法org.tensorflow.distruntime.GetStatusResponse.Builder
-
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-
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-
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-
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-
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-
- getDescriptorForType() - 类 中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder
-
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-
- getDescriptorForType() - 类 中的方法org.tensorflow.distruntime.LoggingResponse.Builder
-
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-
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-
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-
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-
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-
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-
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-
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-
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-
- getDescriptorForType() - 类 中的方法org.tensorflow.distruntime.RegisterGraphResponse.Builder
-
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-
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-
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-
- getDescriptorForType() - 类 中的方法org.tensorflow.distruntime.ResetResponse.Builder
-
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-
- getDescriptorForType() - 类 中的方法org.tensorflow.distruntime.RunCallableResponse.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
-
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-
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-
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-
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-
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-
- getDescriptorForType() - 类 中的方法org.tensorflow.distruntime.TracingRequest.Builder
-
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-
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-
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-
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-
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-
- getDescriptorForType() - 类 中的方法org.tensorflow.example.FeatureConfiguration.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.example.FeatureList.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.example.FeatureLists.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.example.Features.Builder
-
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-
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-
- getDescriptorForType() - 类 中的方法org.tensorflow.example.Int64List.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.example.SequenceExample.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.example.VarLenFeatureProto.Builder
-
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-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.AllocationRecord.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.ApiDef.Arg.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.ApiDef.Attr.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.ApiDef.Endpoint.Builder
-
- getDescriptorForType() - 枚举 中的方法org.tensorflow.framework.ApiDef.Visibility
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.ApiDefs.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.AssetFileDef.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.AttrValue.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.AutoParallelOptions.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.CallableOptions.Builder
-
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-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.CollectionDef.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.CollectionDef.BytesList.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.CollectionDef.FloatList.Builder
-
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-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.CollectionDef.NodeList.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.CondContextDef.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.ConfigProto.Experimental.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.ControlFlowContextDef.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.CostGraphDef.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.CriticalSectionDef.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.CriticalSectionExecutionDef.Builder
-
- getDescriptorForType() - 枚举 中的方法org.tensorflow.framework.DataType
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.DebuggedSourceFile.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.DebugOptions.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.DebugTensorWatch.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.DeviceAttributes.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.DeviceLocality.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.DeviceStepStats.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.FunctionDef.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.FunctionDefLibrary.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.GPUOptions.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.GradientDef.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.GraphDef.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.GraphOptions.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
- getDescriptorForType() - 枚举 中的方法org.tensorflow.framework.GraphTransferInfo.Destination
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInput.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.HistogramProto.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.InterconnectLink.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.KernelDef.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.KernelList.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.LocalLinks.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.MemoryLogStep.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.MemoryStats.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.MetaGraphDef.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.NameAttrList.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.NamedTensorProto.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.NodeDef.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.NodeOutput.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.OpDef.ArgDef.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.OpDef.AttrDef.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.OpDef.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.OpDeprecation.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.OpList.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.OptimizerOptions.Builder
-
- getDescriptorForType() - 枚举 中的方法org.tensorflow.framework.OptimizerOptions.GlobalJitLevel
-
- getDescriptorForType() - 枚举 中的方法org.tensorflow.framework.OptimizerOptions.Level
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.QueueRunnerDef.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.ReaderBaseState.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.ResourceHandleProto.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
-
- getDescriptorForType() - 枚举 中的方法org.tensorflow.framework.RewriterConfig.MemOptType
-
- getDescriptorForType() - 枚举 中的方法org.tensorflow.framework.RewriterConfig.NumIterationsType
-
- getDescriptorForType() - 枚举 中的方法org.tensorflow.framework.RewriterConfig.Toggle
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.RPCOptions.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.RunMetadata.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.RunOptions.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.RunOptions.Experimental.Builder
-
- getDescriptorForType() - 枚举 中的方法org.tensorflow.framework.RunOptions.TraceLevel
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.SavedModel.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.ScopedAllocatorOptions.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.SignatureDef.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.StepStats.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.Summary.Audio.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.Summary.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.Summary.Image.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.Summary.Value.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.SummaryDescription.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.SummaryMetadata.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.TensorConnection.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.TensorDescription.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.TensorInfo.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.TensorShapeProto.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.TensorSliceProto.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.ThreadPoolOptionProto.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.ValuesDef.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.VariableDef.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.VariantTensorDataProto.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.VersionDef.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.framework.WhileContextDef.Builder
-
- getDescriptorForType() - 类 中的方法org.tensorflow.util.BundleEntryProto.Builder
-
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-
- getDescriptorForType() - 枚举 中的方法org.tensorflow.util.BundleHeaderProto.Endianness
-
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-
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-
- getDescriptorForType() - 枚举 中的方法org.tensorflow.util.SaverDef.CheckpointFormatVersion
-
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-
- getDescriptorForType() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
-
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-
- getDescriptorForType() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder
-
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-
- getDescriptorForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder
-
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-
- getDescriptorForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
-
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-
- getDescriptorForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder
-
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-
- getDescriptorForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.Classification.Class.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.Classification.ClassificationRequest.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.Classification.ClassificationResponse.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.Classification.ClassificationResult.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.Classification.Classifications.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder
-
- getDescriptorForType() - 枚举 中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.State
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.Inference.InferenceResult.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.Inference.InferenceTask.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.InputOuterClass.Input.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.Logging.LogMetadata.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.Model.ModelSpec.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder
-
- getDescriptorForType() - 枚举 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelType
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.Predict.PredictRequest.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.Predict.PredictResponse.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.RegressionOuterClass.Regression.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.SslConfig.SSLConfig.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.serving.Status.StatusProto.Builder
-
- getDescriptorForType() - 类 中的方法tensorflow.TransportOptions.RecvBufRespExtra.Builder
-
- getDestination() - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
Destination of graph transfer
.tensorflow.GraphTransferInfo.Destination destination = 7;
- getDestination() - 类 中的方法org.tensorflow.framework.GraphTransferInfo
-
Destination of graph transfer
.tensorflow.GraphTransferInfo.Destination destination = 7;
- getDestination() - 接口 中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder
-
Destination of graph transfer
.tensorflow.GraphTransferInfo.Destination destination = 7;
- getDestinationValue() - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
Destination of graph transfer
.tensorflow.GraphTransferInfo.Destination destination = 7;
- getDestinationValue() - 类 中的方法org.tensorflow.framework.GraphTransferInfo
-
Destination of graph transfer
.tensorflow.GraphTransferInfo.Destination destination = 7;
- getDestinationValue() - 接口 中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder
-
Destination of graph transfer
.tensorflow.GraphTransferInfo.Destination destination = 7;
- getDevice() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
string device = 10;
- getDevice() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest
-
string device = 10;
- getDevice() - 接口 中的方法org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder
-
string device = 10;
- getDevice() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
-
The device of the node.
- getDevice() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node
-
The device of the node.
- getDevice() - 接口 中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
The device of the node.
- getDevice() - 类 中的方法org.tensorflow.framework.DeviceStepStats.Builder
-
string device = 1;
- getDevice() - 类 中的方法org.tensorflow.framework.DeviceStepStats
-
string device = 1;
- getDevice() - 接口 中的方法org.tensorflow.framework.DeviceStepStatsOrBuilder
-
string device = 1;
- getDevice() - 类 中的方法org.tensorflow.framework.NodeDef.Builder
-
A (possibly partial) specification for the device on which this
node should be placed.
- getDevice() - 类 中的方法org.tensorflow.framework.NodeDef
-
A (possibly partial) specification for the device on which this
node should be placed.
- getDevice() - 接口 中的方法org.tensorflow.framework.NodeDefOrBuilder
-
A (possibly partial) specification for the device on which this
node should be placed.
- getDevice() - 类 中的方法org.tensorflow.framework.ResourceHandleProto.Builder
-
Unique name for the device containing the resource.
- getDevice() - 类 中的方法org.tensorflow.framework.ResourceHandleProto
-
Unique name for the device containing the resource.
- getDevice() - 接口 中的方法org.tensorflow.framework.ResourceHandleProtoOrBuilder
-
Unique name for the device containing the resource.
- getDevice() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
string device = 6;
- getDevice() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation
-
string device = 6;
- getDevice() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder
-
string device = 6;
- getDeviceAttributes(int) - 类 中的方法org.tensorflow.distruntime.GetStatusResponse.Builder
-
repeated .tensorflow.DeviceAttributes device_attributes = 1;
- getDeviceAttributes(int) - 类 中的方法org.tensorflow.distruntime.GetStatusResponse
-
repeated .tensorflow.DeviceAttributes device_attributes = 1;
- getDeviceAttributes(int) - 接口 中的方法org.tensorflow.distruntime.GetStatusResponseOrBuilder
-
repeated .tensorflow.DeviceAttributes device_attributes = 1;
- getDeviceAttributes(int) - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
-
List of devices that are locally accessible to the worker.
- getDeviceAttributes(int) - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
-
List of devices that are locally accessible to the worker.
- getDeviceAttributes(int) - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponseOrBuilder
-
List of devices that are locally accessible to the worker.
- getDeviceAttributesBuilder(int) - 类 中的方法org.tensorflow.distruntime.GetStatusResponse.Builder
-
repeated .tensorflow.DeviceAttributes device_attributes = 1;
- getDeviceAttributesBuilder(int) - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
-
List of devices that are locally accessible to the worker.
- getDeviceAttributesBuilderList() - 类 中的方法org.tensorflow.distruntime.GetStatusResponse.Builder
-
repeated .tensorflow.DeviceAttributes device_attributes = 1;
- getDeviceAttributesBuilderList() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
-
List of devices that are locally accessible to the worker.
- getDeviceAttributesCount() - 类 中的方法org.tensorflow.distruntime.GetStatusResponse.Builder
-
repeated .tensorflow.DeviceAttributes device_attributes = 1;
- getDeviceAttributesCount() - 类 中的方法org.tensorflow.distruntime.GetStatusResponse
-
repeated .tensorflow.DeviceAttributes device_attributes = 1;
- getDeviceAttributesCount() - 接口 中的方法org.tensorflow.distruntime.GetStatusResponseOrBuilder
-
repeated .tensorflow.DeviceAttributes device_attributes = 1;
- getDeviceAttributesCount() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
-
List of devices that are locally accessible to the worker.
- getDeviceAttributesCount() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
-
List of devices that are locally accessible to the worker.
- getDeviceAttributesCount() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponseOrBuilder
-
List of devices that are locally accessible to the worker.
- getDeviceAttributesList() - 类 中的方法org.tensorflow.distruntime.GetStatusResponse.Builder
-
repeated .tensorflow.DeviceAttributes device_attributes = 1;
- getDeviceAttributesList() - 类 中的方法org.tensorflow.distruntime.GetStatusResponse
-
repeated .tensorflow.DeviceAttributes device_attributes = 1;
- getDeviceAttributesList() - 接口 中的方法org.tensorflow.distruntime.GetStatusResponseOrBuilder
-
repeated .tensorflow.DeviceAttributes device_attributes = 1;
- getDeviceAttributesList() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
-
List of devices that are locally accessible to the worker.
- getDeviceAttributesList() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
-
List of devices that are locally accessible to the worker.
- getDeviceAttributesList() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponseOrBuilder
-
List of devices that are locally accessible to the worker.
- getDeviceAttributesOrBuilder(int) - 类 中的方法org.tensorflow.distruntime.GetStatusResponse.Builder
-
repeated .tensorflow.DeviceAttributes device_attributes = 1;
- getDeviceAttributesOrBuilder(int) - 类 中的方法org.tensorflow.distruntime.GetStatusResponse
-
repeated .tensorflow.DeviceAttributes device_attributes = 1;
- getDeviceAttributesOrBuilder(int) - 接口 中的方法org.tensorflow.distruntime.GetStatusResponseOrBuilder
-
repeated .tensorflow.DeviceAttributes device_attributes = 1;
- getDeviceAttributesOrBuilder(int) - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
-
List of devices that are locally accessible to the worker.
- getDeviceAttributesOrBuilder(int) - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
-
List of devices that are locally accessible to the worker.
- getDeviceAttributesOrBuilder(int) - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponseOrBuilder
-
List of devices that are locally accessible to the worker.
- getDeviceAttributesOrBuilderList() - 类 中的方法org.tensorflow.distruntime.GetStatusResponse.Builder
-
repeated .tensorflow.DeviceAttributes device_attributes = 1;
- getDeviceAttributesOrBuilderList() - 类 中的方法org.tensorflow.distruntime.GetStatusResponse
-
repeated .tensorflow.DeviceAttributes device_attributes = 1;
- getDeviceAttributesOrBuilderList() - 接口 中的方法org.tensorflow.distruntime.GetStatusResponseOrBuilder
-
repeated .tensorflow.DeviceAttributes device_attributes = 1;
- getDeviceAttributesOrBuilderList() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
-
List of devices that are locally accessible to the worker.
- getDeviceAttributesOrBuilderList() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
-
List of devices that are locally accessible to the worker.
- getDeviceAttributesOrBuilderList() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponseOrBuilder
-
List of devices that are locally accessible to the worker.
- getDeviceBytes() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
string device = 10;
- getDeviceBytes() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest
-
string device = 10;
- getDeviceBytes() - 接口 中的方法org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder
-
string device = 10;
- getDeviceBytes() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
-
The device of the node.
- getDeviceBytes() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node
-
The device of the node.
- getDeviceBytes() - 接口 中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
The device of the node.
- getDeviceBytes() - 类 中的方法org.tensorflow.framework.DeviceStepStats.Builder
-
string device = 1;
- getDeviceBytes() - 类 中的方法org.tensorflow.framework.DeviceStepStats
-
string device = 1;
- getDeviceBytes() - 接口 中的方法org.tensorflow.framework.DeviceStepStatsOrBuilder
-
string device = 1;
- getDeviceBytes() - 类 中的方法org.tensorflow.framework.NodeDef.Builder
-
A (possibly partial) specification for the device on which this
node should be placed.
- getDeviceBytes() - 类 中的方法org.tensorflow.framework.NodeDef
-
A (possibly partial) specification for the device on which this
node should be placed.
- getDeviceBytes() - 接口 中的方法org.tensorflow.framework.NodeDefOrBuilder
-
A (possibly partial) specification for the device on which this
node should be placed.
- getDeviceBytes() - 类 中的方法org.tensorflow.framework.ResourceHandleProto.Builder
-
Unique name for the device containing the resource.
- getDeviceBytes() - 类 中的方法org.tensorflow.framework.ResourceHandleProto
-
Unique name for the device containing the resource.
- getDeviceBytes() - 接口 中的方法org.tensorflow.framework.ResourceHandleProtoOrBuilder
-
Unique name for the device containing the resource.
- getDeviceBytes() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
string device = 6;
- getDeviceBytes() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation
-
string device = 6;
- getDeviceBytes() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder
-
string device = 6;
- getDeviceCount() - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
已过时。
- getDeviceCount() - 类 中的方法org.tensorflow.framework.ConfigProto
-
已过时。
- getDeviceCount() - 接口 中的方法org.tensorflow.framework.ConfigProtoOrBuilder
-
已过时。
- getDeviceCountCount() - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
- getDeviceCountCount() - 类 中的方法org.tensorflow.framework.ConfigProto
-
- getDeviceCountCount() - 接口 中的方法org.tensorflow.framework.ConfigProtoOrBuilder
-
Map from device type name (e.g., "CPU" or "GPU" ) to maximum
number of devices of that type to use.
- getDeviceCountMap() - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
Map from device type name (e.g., "CPU" or "GPU" ) to maximum
number of devices of that type to use.
- getDeviceCountMap() - 类 中的方法org.tensorflow.framework.ConfigProto
-
Map from device type name (e.g., "CPU" or "GPU" ) to maximum
number of devices of that type to use.
- getDeviceCountMap() - 接口 中的方法org.tensorflow.framework.ConfigProtoOrBuilder
-
Map from device type name (e.g., "CPU" or "GPU" ) to maximum
number of devices of that type to use.
- getDeviceCountOrDefault(String, int) - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
Map from device type name (e.g., "CPU" or "GPU" ) to maximum
number of devices of that type to use.
- getDeviceCountOrDefault(String, int) - 类 中的方法org.tensorflow.framework.ConfigProto
-
Map from device type name (e.g., "CPU" or "GPU" ) to maximum
number of devices of that type to use.
- getDeviceCountOrDefault(String, int) - 接口 中的方法org.tensorflow.framework.ConfigProtoOrBuilder
-
Map from device type name (e.g., "CPU" or "GPU" ) to maximum
number of devices of that type to use.
- getDeviceCountOrThrow(String) - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
Map from device type name (e.g., "CPU" or "GPU" ) to maximum
number of devices of that type to use.
- getDeviceCountOrThrow(String) - 类 中的方法org.tensorflow.framework.ConfigProto
-
Map from device type name (e.g., "CPU" or "GPU" ) to maximum
number of devices of that type to use.
- getDeviceCountOrThrow(String) - 接口 中的方法org.tensorflow.framework.ConfigProtoOrBuilder
-
Map from device type name (e.g., "CPU" or "GPU" ) to maximum
number of devices of that type to use.
- getDeviceFilters(int) - 类 中的方法org.tensorflow.distruntime.ResetRequest.Builder
-
When any filters are present, only devices that match the filters
will be reset.
- getDeviceFilters(int) - 类 中的方法org.tensorflow.distruntime.ResetRequest
-
When any filters are present, only devices that match the filters
will be reset.
- getDeviceFilters(int) - 接口 中的方法org.tensorflow.distruntime.ResetRequestOrBuilder
-
When any filters are present, only devices that match the filters
will be reset.
- getDeviceFilters(int) - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
When any filters are present sessions will ignore all devices which do not
match the filters.
- getDeviceFilters(int) - 类 中的方法org.tensorflow.framework.ConfigProto
-
When any filters are present sessions will ignore all devices which do not
match the filters.
- getDeviceFilters(int) - 接口 中的方法org.tensorflow.framework.ConfigProtoOrBuilder
-
When any filters are present sessions will ignore all devices which do not
match the filters.
- getDeviceFiltersBytes(int) - 类 中的方法org.tensorflow.distruntime.ResetRequest.Builder
-
When any filters are present, only devices that match the filters
will be reset.
- getDeviceFiltersBytes(int) - 类 中的方法org.tensorflow.distruntime.ResetRequest
-
When any filters are present, only devices that match the filters
will be reset.
- getDeviceFiltersBytes(int) - 接口 中的方法org.tensorflow.distruntime.ResetRequestOrBuilder
-
When any filters are present, only devices that match the filters
will be reset.
- getDeviceFiltersBytes(int) - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
When any filters are present sessions will ignore all devices which do not
match the filters.
- getDeviceFiltersBytes(int) - 类 中的方法org.tensorflow.framework.ConfigProto
-
When any filters are present sessions will ignore all devices which do not
match the filters.
- getDeviceFiltersBytes(int) - 接口 中的方法org.tensorflow.framework.ConfigProtoOrBuilder
-
When any filters are present sessions will ignore all devices which do not
match the filters.
- getDeviceFiltersCount() - 类 中的方法org.tensorflow.distruntime.ResetRequest.Builder
-
When any filters are present, only devices that match the filters
will be reset.
- getDeviceFiltersCount() - 类 中的方法org.tensorflow.distruntime.ResetRequest
-
When any filters are present, only devices that match the filters
will be reset.
- getDeviceFiltersCount() - 接口 中的方法org.tensorflow.distruntime.ResetRequestOrBuilder
-
When any filters are present, only devices that match the filters
will be reset.
- getDeviceFiltersCount() - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
When any filters are present sessions will ignore all devices which do not
match the filters.
- getDeviceFiltersCount() - 类 中的方法org.tensorflow.framework.ConfigProto
-
When any filters are present sessions will ignore all devices which do not
match the filters.
- getDeviceFiltersCount() - 接口 中的方法org.tensorflow.framework.ConfigProtoOrBuilder
-
When any filters are present sessions will ignore all devices which do not
match the filters.
- getDeviceFiltersList() - 类 中的方法org.tensorflow.distruntime.ResetRequest.Builder
-
When any filters are present, only devices that match the filters
will be reset.
- getDeviceFiltersList() - 类 中的方法org.tensorflow.distruntime.ResetRequest
-
When any filters are present, only devices that match the filters
will be reset.
- getDeviceFiltersList() - 接口 中的方法org.tensorflow.distruntime.ResetRequestOrBuilder
-
When any filters are present, only devices that match the filters
will be reset.
- getDeviceFiltersList() - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
When any filters are present sessions will ignore all devices which do not
match the filters.
- getDeviceFiltersList() - 类 中的方法org.tensorflow.framework.ConfigProto
-
When any filters are present sessions will ignore all devices which do not
match the filters.
- getDeviceFiltersList() - 接口 中的方法org.tensorflow.framework.ConfigProtoOrBuilder
-
When any filters are present sessions will ignore all devices which do not
match the filters.
- getDeviceId() - 类 中的方法org.tensorflow.framework.InterconnectLink.Builder
-
int32 device_id = 1;
- getDeviceId() - 类 中的方法org.tensorflow.framework.InterconnectLink
-
int32 device_id = 1;
- getDeviceId() - 接口 中的方法org.tensorflow.framework.InterconnectLinkOrBuilder
-
int32 device_id = 1;
- getDeviceName(int) - 类 中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder
-
repeated string device_name = 4;
- getDeviceName(int) - 类 中的方法org.tensorflow.distruntime.CompleteGroupRequest
-
repeated string device_name = 4;
- getDeviceName(int) - 接口 中的方法org.tensorflow.distruntime.CompleteGroupRequestOrBuilder
-
repeated string device_name = 4;
- getDeviceName(int) - 类 中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
repeated string device_name = 5;
- getDeviceName(int) - 类 中的方法org.tensorflow.distruntime.CompleteGroupResponse
-
repeated string device_name = 5;
- getDeviceName(int) - 接口 中的方法org.tensorflow.distruntime.CompleteGroupResponseOrBuilder
-
repeated string device_name = 5;
- getDeviceName() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder
-
The device on which the tensors should be resident.
- getDeviceName() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
-
The device on which the tensors should be resident.
- getDeviceName() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequestOrBuilder
-
The device on which the tensors should be resident.
- getDeviceNameBytes(int) - 类 中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder
-
repeated string device_name = 4;
- getDeviceNameBytes(int) - 类 中的方法org.tensorflow.distruntime.CompleteGroupRequest
-
repeated string device_name = 4;
- getDeviceNameBytes(int) - 接口 中的方法org.tensorflow.distruntime.CompleteGroupRequestOrBuilder
-
repeated string device_name = 4;
- getDeviceNameBytes(int) - 类 中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
repeated string device_name = 5;
- getDeviceNameBytes(int) - 类 中的方法org.tensorflow.distruntime.CompleteGroupResponse
-
repeated string device_name = 5;
- getDeviceNameBytes(int) - 接口 中的方法org.tensorflow.distruntime.CompleteGroupResponseOrBuilder
-
repeated string device_name = 5;
- getDeviceNameBytes() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder
-
The device on which the tensors should be resident.
- getDeviceNameBytes() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
-
The device on which the tensors should be resident.
- getDeviceNameBytes() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequestOrBuilder
-
The device on which the tensors should be resident.
- getDeviceNameCount() - 类 中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder
-
repeated string device_name = 4;
- getDeviceNameCount() - 类 中的方法org.tensorflow.distruntime.CompleteGroupRequest
-
repeated string device_name = 4;
- getDeviceNameCount() - 接口 中的方法org.tensorflow.distruntime.CompleteGroupRequestOrBuilder
-
repeated string device_name = 4;
- getDeviceNameCount() - 类 中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
repeated string device_name = 5;
- getDeviceNameCount() - 类 中的方法org.tensorflow.distruntime.CompleteGroupResponse
-
repeated string device_name = 5;
- getDeviceNameCount() - 接口 中的方法org.tensorflow.distruntime.CompleteGroupResponseOrBuilder
-
repeated string device_name = 5;
- getDeviceNameList() - 类 中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder
-
repeated string device_name = 4;
- getDeviceNameList() - 类 中的方法org.tensorflow.distruntime.CompleteGroupRequest
-
repeated string device_name = 4;
- getDeviceNameList() - 接口 中的方法org.tensorflow.distruntime.CompleteGroupRequestOrBuilder
-
repeated string device_name = 4;
- getDeviceNameList() - 类 中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
repeated string device_name = 5;
- getDeviceNameList() - 类 中的方法org.tensorflow.distruntime.CompleteGroupResponse
-
repeated string device_name = 5;
- getDeviceNameList() - 接口 中的方法org.tensorflow.distruntime.CompleteGroupResponseOrBuilder
-
repeated string device_name = 5;
- getDevicePersistentMemorySize() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
-
已过时。
- getDevicePersistentMemorySize() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node
-
已过时。
- getDevicePersistentMemorySize() - 接口 中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
已过时。
- getDevicePersistentMemorySize() - 类 中的方法org.tensorflow.framework.MemoryStats.Builder
-
已过时。
- getDevicePersistentMemorySize() - 类 中的方法org.tensorflow.framework.MemoryStats
-
已过时。
- getDevicePersistentMemorySize() - 接口 中的方法org.tensorflow.framework.MemoryStatsOrBuilder
-
已过时。
- getDevicePersistentTensorAllocIds(int) - 类 中的方法org.tensorflow.framework.MemoryStats.Builder
-
已过时。
- getDevicePersistentTensorAllocIds(int) - 类 中的方法org.tensorflow.framework.MemoryStats
-
已过时。
- getDevicePersistentTensorAllocIds(int) - 接口 中的方法org.tensorflow.framework.MemoryStatsOrBuilder
-
已过时。
- getDevicePersistentTensorAllocIdsCount() - 类 中的方法org.tensorflow.framework.MemoryStats.Builder
-
已过时。
- getDevicePersistentTensorAllocIdsCount() - 类 中的方法org.tensorflow.framework.MemoryStats
-
已过时。
- getDevicePersistentTensorAllocIdsCount() - 接口 中的方法org.tensorflow.framework.MemoryStatsOrBuilder
-
已过时。
- getDevicePersistentTensorAllocIdsList() - 类 中的方法org.tensorflow.framework.MemoryStats.Builder
-
已过时。
- getDevicePersistentTensorAllocIdsList() - 类 中的方法org.tensorflow.framework.MemoryStats
-
已过时。
- getDevicePersistentTensorAllocIdsList() - 接口 中的方法org.tensorflow.framework.MemoryStatsOrBuilder
-
已过时。
- getDeviceTempMemorySize() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
-
已过时。
- getDeviceTempMemorySize() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node
-
已过时。
- getDeviceTempMemorySize() - 接口 中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
已过时。
- getDeviceTempMemorySize() - 类 中的方法org.tensorflow.framework.MemoryStats.Builder
-
已过时。
- getDeviceTempMemorySize() - 类 中的方法org.tensorflow.framework.MemoryStats
-
已过时。
- getDeviceTempMemorySize() - 接口 中的方法org.tensorflow.framework.MemoryStatsOrBuilder
-
已过时。
- getDeviceType() - 类 中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder
-
string device_type = 3;
- getDeviceType() - 类 中的方法org.tensorflow.distruntime.CompleteGroupRequest
-
string device_type = 3;
- getDeviceType() - 接口 中的方法org.tensorflow.distruntime.CompleteGroupRequestOrBuilder
-
string device_type = 3;
- getDeviceType() - 类 中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
string device_type = 3;
- getDeviceType() - 类 中的方法org.tensorflow.distruntime.CompleteGroupResponse
-
string device_type = 3;
- getDeviceType() - 接口 中的方法org.tensorflow.distruntime.CompleteGroupResponseOrBuilder
-
string device_type = 3;
- getDeviceType() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
string device_type = 8;
- getDeviceType() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest
-
string device_type = 8;
- getDeviceType() - 接口 中的方法org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder
-
string device_type = 8;
- getDeviceType() - 类 中的方法org.tensorflow.framework.DeviceAttributes.Builder
-
String representation of device_type.
- getDeviceType() - 类 中的方法org.tensorflow.framework.DeviceAttributes
-
String representation of device_type.
- getDeviceType() - 接口 中的方法org.tensorflow.framework.DeviceAttributesOrBuilder
-
String representation of device_type.
- getDeviceType() - 类 中的方法org.tensorflow.framework.KernelDef.Builder
-
Type of device this kernel runs on.
- getDeviceType() - 类 中的方法org.tensorflow.framework.KernelDef
-
Type of device this kernel runs on.
- getDeviceType() - 接口 中的方法org.tensorflow.framework.KernelDefOrBuilder
-
Type of device this kernel runs on.
- getDeviceTypeBytes() - 类 中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder
-
string device_type = 3;
- getDeviceTypeBytes() - 类 中的方法org.tensorflow.distruntime.CompleteGroupRequest
-
string device_type = 3;
- getDeviceTypeBytes() - 接口 中的方法org.tensorflow.distruntime.CompleteGroupRequestOrBuilder
-
string device_type = 3;
- getDeviceTypeBytes() - 类 中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
string device_type = 3;
- getDeviceTypeBytes() - 类 中的方法org.tensorflow.distruntime.CompleteGroupResponse
-
string device_type = 3;
- getDeviceTypeBytes() - 接口 中的方法org.tensorflow.distruntime.CompleteGroupResponseOrBuilder
-
string device_type = 3;
- getDeviceTypeBytes() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
string device_type = 8;
- getDeviceTypeBytes() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest
-
string device_type = 8;
- getDeviceTypeBytes() - 接口 中的方法org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder
-
string device_type = 8;
- getDeviceTypeBytes() - 类 中的方法org.tensorflow.framework.DeviceAttributes.Builder
-
String representation of device_type.
- getDeviceTypeBytes() - 类 中的方法org.tensorflow.framework.DeviceAttributes
-
String representation of device_type.
- getDeviceTypeBytes() - 接口 中的方法org.tensorflow.framework.DeviceAttributesOrBuilder
-
String representation of device_type.
- getDeviceTypeBytes() - 类 中的方法org.tensorflow.framework.KernelDef.Builder
-
Type of device this kernel runs on.
- getDeviceTypeBytes() - 类 中的方法org.tensorflow.framework.KernelDef
-
Type of device this kernel runs on.
- getDeviceTypeBytes() - 接口 中的方法org.tensorflow.framework.KernelDefOrBuilder
-
Type of device this kernel runs on.
- getDevStats(int) - 类 中的方法org.tensorflow.framework.StepStats.Builder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStats(int) - 类 中的方法org.tensorflow.framework.StepStats
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStats(int) - 接口 中的方法org.tensorflow.framework.StepStatsOrBuilder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsBuilder(int) - 类 中的方法org.tensorflow.framework.StepStats.Builder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsBuilderList() - 类 中的方法org.tensorflow.framework.StepStats.Builder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsCount() - 类 中的方法org.tensorflow.framework.StepStats.Builder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsCount() - 类 中的方法org.tensorflow.framework.StepStats
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsCount() - 接口 中的方法org.tensorflow.framework.StepStatsOrBuilder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsList() - 类 中的方法org.tensorflow.framework.StepStats.Builder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsList() - 类 中的方法org.tensorflow.framework.StepStats
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsList() - 接口 中的方法org.tensorflow.framework.StepStatsOrBuilder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsOrBuilder(int) - 类 中的方法org.tensorflow.framework.StepStats.Builder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsOrBuilder(int) - 类 中的方法org.tensorflow.framework.StepStats
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsOrBuilder(int) - 接口 中的方法org.tensorflow.framework.StepStatsOrBuilder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsOrBuilderList() - 类 中的方法org.tensorflow.framework.StepStats.Builder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsOrBuilderList() - 类 中的方法org.tensorflow.framework.StepStats
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsOrBuilderList() - 接口 中的方法org.tensorflow.framework.StepStatsOrBuilder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDim(int) - 类 中的方法org.tensorflow.framework.TensorShapeProto.Builder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDim(int) - 类 中的方法org.tensorflow.framework.TensorShapeProto
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDim(int) - 接口 中的方法org.tensorflow.framework.TensorShapeProtoOrBuilder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimBuilder(int) - 类 中的方法org.tensorflow.framework.TensorShapeProto.Builder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimBuilderList() - 类 中的方法org.tensorflow.framework.TensorShapeProto.Builder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimCount() - 类 中的方法org.tensorflow.framework.TensorShapeProto.Builder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimCount() - 类 中的方法org.tensorflow.framework.TensorShapeProto
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimCount() - 接口 中的方法org.tensorflow.framework.TensorShapeProtoOrBuilder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimList() - 类 中的方法org.tensorflow.framework.TensorShapeProto.Builder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimList() - 类 中的方法org.tensorflow.framework.TensorShapeProto
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimList() - 接口 中的方法org.tensorflow.framework.TensorShapeProtoOrBuilder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimOrBuilder(int) - 类 中的方法org.tensorflow.framework.TensorShapeProto.Builder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimOrBuilder(int) - 类 中的方法org.tensorflow.framework.TensorShapeProto
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimOrBuilder(int) - 接口 中的方法org.tensorflow.framework.TensorShapeProtoOrBuilder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimOrBuilderList() - 类 中的方法org.tensorflow.framework.TensorShapeProto.Builder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimOrBuilderList() - 类 中的方法org.tensorflow.framework.TensorShapeProto
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimOrBuilderList() - 接口 中的方法org.tensorflow.framework.TensorShapeProtoOrBuilder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDisableModelPruning() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
If true, don't remove unnecessary ops from the graph
bool disable_model_pruning = 2;
- getDisableModelPruning() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
If true, don't remove unnecessary ops from the graph
bool disable_model_pruning = 2;
- getDisableModelPruning() - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
If true, don't remove unnecessary ops from the graph
bool disable_model_pruning = 2;
- getDisableRpcLogging() - 类 中的方法org.tensorflow.distruntime.LoggingRequest.Builder
-
If true, RPC logging will be disabled.
- getDisableRpcLogging() - 类 中的方法org.tensorflow.distruntime.LoggingRequest
-
If true, RPC logging will be disabled.
- getDisableRpcLogging() - 接口 中的方法org.tensorflow.distruntime.LoggingRequestOrBuilder
-
If true, RPC logging will be disabled.
- getDisplayName() - 类 中的方法org.tensorflow.framework.SummaryMetadata.Builder
-
Display name for viewing in TensorBoard.
- getDisplayName() - 类 中的方法org.tensorflow.framework.SummaryMetadata
-
Display name for viewing in TensorBoard.
- getDisplayName() - 接口 中的方法org.tensorflow.framework.SummaryMetadataOrBuilder
-
Display name for viewing in TensorBoard.
- getDisplayNameBytes() - 类 中的方法org.tensorflow.framework.SummaryMetadata.Builder
-
Display name for viewing in TensorBoard.
- getDisplayNameBytes() - 类 中的方法org.tensorflow.framework.SummaryMetadata
-
Display name for viewing in TensorBoard.
- getDisplayNameBytes() - 接口 中的方法org.tensorflow.framework.SummaryMetadataOrBuilder
-
Display name for viewing in TensorBoard.
- getDmaOk() - 类 中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder
-
If true, use an out-of-band DMA mechanism to transfer the
received tensor.
- getDmaOk() - 类 中的方法org.tensorflow.distruntime.RecvTensorRequest
-
If true, use an out-of-band DMA mechanism to transfer the
received tensor.
- getDmaOk() - 接口 中的方法org.tensorflow.distruntime.RecvTensorRequestOrBuilder
-
If true, use an out-of-band DMA mechanism to transfer the
received tensor.
- getDoCommonSubexpressionElimination() - 类 中的方法org.tensorflow.framework.OptimizerOptions.Builder
-
If true, optimize the graph using common subexpression elimination.
- getDoCommonSubexpressionElimination() - 类 中的方法org.tensorflow.framework.OptimizerOptions
-
If true, optimize the graph using common subexpression elimination.
- getDoCommonSubexpressionElimination() - 接口 中的方法org.tensorflow.framework.OptimizerOptionsOrBuilder
-
If true, optimize the graph using common subexpression elimination.
- getDoConstantFolding() - 类 中的方法org.tensorflow.framework.OptimizerOptions.Builder
-
If true, perform constant folding optimization on the graph.
- getDoConstantFolding() - 类 中的方法org.tensorflow.framework.OptimizerOptions
-
If true, perform constant folding optimization on the graph.
- getDoConstantFolding() - 接口 中的方法org.tensorflow.framework.OptimizerOptionsOrBuilder
-
If true, perform constant folding optimization on the graph.
- getDoFunctionInlining() - 类 中的方法org.tensorflow.framework.OptimizerOptions.Builder
-
If true, perform function inlining on the graph.
- getDoFunctionInlining() - 类 中的方法org.tensorflow.framework.OptimizerOptions
-
If true, perform function inlining on the graph.
- getDoFunctionInlining() - 接口 中的方法org.tensorflow.framework.OptimizerOptionsOrBuilder
-
If true, perform function inlining on the graph.
- getDoubleVal(int) - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_DOUBLE.
- getDoubleVal(int) - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_DOUBLE.
- getDoubleVal(int) - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_DOUBLE.
- getDoubleValCount() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_DOUBLE.
- getDoubleValCount() - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_DOUBLE.
- getDoubleValCount() - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_DOUBLE.
- getDoubleValList() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_DOUBLE.
- getDoubleValList() - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_DOUBLE.
- getDoubleValList() - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_DOUBLE.
- getDstDevice() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest.Builder
-
string dst_device = 9;
- getDstDevice() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest
-
string dst_device = 9;
- getDstDevice() - 接口 中的方法org.tensorflow.distruntime.RecvBufRequestOrBuilder
-
string dst_device = 9;
- getDstDeviceBytes() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest.Builder
-
string dst_device = 9;
- getDstDeviceBytes() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest
-
string dst_device = 9;
- getDstDeviceBytes() - 接口 中的方法org.tensorflow.distruntime.RecvBufRequestOrBuilder
-
string dst_device = 9;
- getDtype() - 类 中的方法org.tensorflow.example.FixedLenFeatureProto.Builder
-
.tensorflow.DataType dtype = 1;
- getDtype() - 类 中的方法org.tensorflow.example.FixedLenFeatureProto
-
.tensorflow.DataType dtype = 1;
- getDtype() - 接口 中的方法org.tensorflow.example.FixedLenFeatureProtoOrBuilder
-
.tensorflow.DataType dtype = 1;
- getDtype() - 类 中的方法org.tensorflow.example.VarLenFeatureProto.Builder
-
.tensorflow.DataType dtype = 1;
- getDtype() - 类 中的方法org.tensorflow.example.VarLenFeatureProto
-
.tensorflow.DataType dtype = 1;
- getDtype() - 接口 中的方法org.tensorflow.example.VarLenFeatureProtoOrBuilder
-
.tensorflow.DataType dtype = 1;
- getDtype() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
.tensorflow.DataType dtype = 4;
- getDtype() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
.tensorflow.DataType dtype = 4;
- getDtype() - 接口 中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfoOrBuilder
-
.tensorflow.DataType dtype = 4;
- getDtype() - 类 中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
.tensorflow.DataType dtype = 5;
- getDtype() - 类 中的方法org.tensorflow.framework.GraphTransferConstNodeInfo
-
.tensorflow.DataType dtype = 5;
- getDtype() - 接口 中的方法org.tensorflow.framework.GraphTransferConstNodeInfoOrBuilder
-
.tensorflow.DataType dtype = 5;
- getDtype() - 类 中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
-
.tensorflow.DataType dtype = 3;
- getDtype() - 类 中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
-
.tensorflow.DataType dtype = 3;
- getDtype() - 接口 中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfoOrBuilder
-
.tensorflow.DataType dtype = 3;
- getDtype() - 类 中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
-
.tensorflow.DataType dtype = 3;
- getDtype() - 类 中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
-
.tensorflow.DataType dtype = 3;
- getDtype() - 接口 中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfoOrBuilder
-
.tensorflow.DataType dtype = 3;
- getDtype() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
.tensorflow.DataType dtype = 1;
- getDtype() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
-
.tensorflow.DataType dtype = 1;
- getDtype() - 接口 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder
-
.tensorflow.DataType dtype = 1;
- getDtype() - 类 中的方法org.tensorflow.framework.TensorDescription.Builder
-
Data type of tensor elements
.tensorflow.DataType dtype = 1;
- getDtype() - 类 中的方法org.tensorflow.framework.TensorDescription
-
Data type of tensor elements
.tensorflow.DataType dtype = 1;
- getDtype() - 接口 中的方法org.tensorflow.framework.TensorDescriptionOrBuilder
-
Data type of tensor elements
.tensorflow.DataType dtype = 1;
- getDtype() - 类 中的方法org.tensorflow.framework.TensorInfo.Builder
-
.tensorflow.DataType dtype = 2;
- getDtype() - 类 中的方法org.tensorflow.framework.TensorInfo
-
.tensorflow.DataType dtype = 2;
- getDtype() - 接口 中的方法org.tensorflow.framework.TensorInfoOrBuilder
-
.tensorflow.DataType dtype = 2;
- getDtype() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
.tensorflow.DataType dtype = 1;
- getDtype() - 类 中的方法org.tensorflow.framework.TensorProto
-
.tensorflow.DataType dtype = 1;
- getDtype() - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
.tensorflow.DataType dtype = 1;
- getDtype() - 类 中的方法org.tensorflow.util.BundleEntryProto.Builder
-
The tensor dtype and shape.
- getDtype() - 类 中的方法org.tensorflow.util.BundleEntryProto
-
The tensor dtype and shape.
- getDtype() - 接口 中的方法org.tensorflow.util.BundleEntryProtoOrBuilder
-
The tensor dtype and shape.
- getDtypeValue() - 类 中的方法org.tensorflow.example.FixedLenFeatureProto.Builder
-
.tensorflow.DataType dtype = 1;
- getDtypeValue() - 类 中的方法org.tensorflow.example.FixedLenFeatureProto
-
.tensorflow.DataType dtype = 1;
- getDtypeValue() - 接口 中的方法org.tensorflow.example.FixedLenFeatureProtoOrBuilder
-
.tensorflow.DataType dtype = 1;
- getDtypeValue() - 类 中的方法org.tensorflow.example.VarLenFeatureProto.Builder
-
.tensorflow.DataType dtype = 1;
- getDtypeValue() - 类 中的方法org.tensorflow.example.VarLenFeatureProto
-
.tensorflow.DataType dtype = 1;
- getDtypeValue() - 接口 中的方法org.tensorflow.example.VarLenFeatureProtoOrBuilder
-
.tensorflow.DataType dtype = 1;
- getDtypeValue() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
.tensorflow.DataType dtype = 4;
- getDtypeValue() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
.tensorflow.DataType dtype = 4;
- getDtypeValue() - 接口 中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfoOrBuilder
-
.tensorflow.DataType dtype = 4;
- getDtypeValue() - 类 中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
.tensorflow.DataType dtype = 5;
- getDtypeValue() - 类 中的方法org.tensorflow.framework.GraphTransferConstNodeInfo
-
.tensorflow.DataType dtype = 5;
- getDtypeValue() - 接口 中的方法org.tensorflow.framework.GraphTransferConstNodeInfoOrBuilder
-
.tensorflow.DataType dtype = 5;
- getDtypeValue() - 类 中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
-
.tensorflow.DataType dtype = 3;
- getDtypeValue() - 类 中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
-
.tensorflow.DataType dtype = 3;
- getDtypeValue() - 接口 中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfoOrBuilder
-
.tensorflow.DataType dtype = 3;
- getDtypeValue() - 类 中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
-
.tensorflow.DataType dtype = 3;
- getDtypeValue() - 类 中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
-
.tensorflow.DataType dtype = 3;
- getDtypeValue() - 接口 中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfoOrBuilder
-
.tensorflow.DataType dtype = 3;
- getDtypeValue() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
.tensorflow.DataType dtype = 1;
- getDtypeValue() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
-
.tensorflow.DataType dtype = 1;
- getDtypeValue() - 接口 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder
-
.tensorflow.DataType dtype = 1;
- getDtypeValue() - 类 中的方法org.tensorflow.framework.TensorDescription.Builder
-
Data type of tensor elements
.tensorflow.DataType dtype = 1;
- getDtypeValue() - 类 中的方法org.tensorflow.framework.TensorDescription
-
Data type of tensor elements
.tensorflow.DataType dtype = 1;
- getDtypeValue() - 接口 中的方法org.tensorflow.framework.TensorDescriptionOrBuilder
-
Data type of tensor elements
.tensorflow.DataType dtype = 1;
- getDtypeValue() - 类 中的方法org.tensorflow.framework.TensorInfo.Builder
-
.tensorflow.DataType dtype = 2;
- getDtypeValue() - 类 中的方法org.tensorflow.framework.TensorInfo
-
.tensorflow.DataType dtype = 2;
- getDtypeValue() - 接口 中的方法org.tensorflow.framework.TensorInfoOrBuilder
-
.tensorflow.DataType dtype = 2;
- getDtypeValue() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
.tensorflow.DataType dtype = 1;
- getDtypeValue() - 类 中的方法org.tensorflow.framework.TensorProto
-
.tensorflow.DataType dtype = 1;
- getDtypeValue() - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
.tensorflow.DataType dtype = 1;
- getDtypeValue() - 类 中的方法org.tensorflow.util.BundleEntryProto.Builder
-
The tensor dtype and shape.
- getDtypeValue() - 类 中的方法org.tensorflow.util.BundleEntryProto
-
The tensor dtype and shape.
- getDtypeValue() - 接口 中的方法org.tensorflow.util.BundleEntryProtoOrBuilder
-
The tensor dtype and shape.
- getDuration() - 类 中的方法org.tensorflow.distruntime.TraceOpts.Builder
-
Length of the trace to be taken, in seconds.
- getDuration() - 类 中的方法org.tensorflow.distruntime.TraceOpts
-
Length of the trace to be taken, in seconds.
- getDuration() - 接口 中的方法org.tensorflow.distruntime.TraceOptsOrBuilder
-
Length of the trace to be taken, in seconds.
- getEnable() - 类 中的方法org.tensorflow.framework.AutoParallelOptions.Builder
-
bool enable = 1;
- getEnable() - 类 中的方法org.tensorflow.framework.AutoParallelOptions
-
bool enable = 1;
- getEnable() - 接口 中的方法org.tensorflow.framework.AutoParallelOptionsOrBuilder
-
bool enable = 1;
- getEnableBfloat16Sendrecv() - 类 中的方法org.tensorflow.framework.GraphOptions.Builder
-
If true, transfer float values between processes as bfloat16.
- getEnableBfloat16Sendrecv() - 类 中的方法org.tensorflow.framework.GraphOptions
-
If true, transfer float values between processes as bfloat16.
- getEnableBfloat16Sendrecv() - 接口 中的方法org.tensorflow.framework.GraphOptionsOrBuilder
-
If true, transfer float values between processes as bfloat16.
- getEnableOp(int) - 类 中的方法org.tensorflow.framework.ScopedAllocatorOptions.Builder
-
If present, only perform optimization for these ops.
- getEnableOp(int) - 类 中的方法org.tensorflow.framework.ScopedAllocatorOptions
-
If present, only perform optimization for these ops.
- getEnableOp(int) - 接口 中的方法org.tensorflow.framework.ScopedAllocatorOptionsOrBuilder
-
If present, only perform optimization for these ops.
- getEnableOpBytes(int) - 类 中的方法org.tensorflow.framework.ScopedAllocatorOptions.Builder
-
If present, only perform optimization for these ops.
- getEnableOpBytes(int) - 类 中的方法org.tensorflow.framework.ScopedAllocatorOptions
-
If present, only perform optimization for these ops.
- getEnableOpBytes(int) - 接口 中的方法org.tensorflow.framework.ScopedAllocatorOptionsOrBuilder
-
If present, only perform optimization for these ops.
- getEnableOpCount() - 类 中的方法org.tensorflow.framework.ScopedAllocatorOptions.Builder
-
If present, only perform optimization for these ops.
- getEnableOpCount() - 类 中的方法org.tensorflow.framework.ScopedAllocatorOptions
-
If present, only perform optimization for these ops.
- getEnableOpCount() - 接口 中的方法org.tensorflow.framework.ScopedAllocatorOptionsOrBuilder
-
If present, only perform optimization for these ops.
- getEnableOpList() - 类 中的方法org.tensorflow.framework.ScopedAllocatorOptions.Builder
-
If present, only perform optimization for these ops.
- getEnableOpList() - 类 中的方法org.tensorflow.framework.ScopedAllocatorOptions
-
If present, only perform optimization for these ops.
- getEnableOpList() - 接口 中的方法org.tensorflow.framework.ScopedAllocatorOptionsOrBuilder
-
If present, only perform optimization for these ops.
- getEnableRecvScheduling() - 类 中的方法org.tensorflow.framework.GraphOptions.Builder
-
If true, use control flow to schedule the activation of Recv nodes.
- getEnableRecvScheduling() - 类 中的方法org.tensorflow.framework.GraphOptions
-
If true, use control flow to schedule the activation of Recv nodes.
- getEnableRecvScheduling() - 接口 中的方法org.tensorflow.framework.GraphOptionsOrBuilder
-
If true, use control flow to schedule the activation of Recv nodes.
- getEnableRpcLogging() - 类 中的方法org.tensorflow.distruntime.LoggingRequest.Builder
-
If true, RPC logging will be enabled.
- getEnableRpcLogging() - 类 中的方法org.tensorflow.distruntime.LoggingRequest
-
If true, RPC logging will be enabled.
- getEnableRpcLogging() - 接口 中的方法org.tensorflow.distruntime.LoggingRequestOrBuilder
-
If true, RPC logging will be enabled.
- getEncodedAudioString() - 类 中的方法org.tensorflow.framework.Summary.Audio.Builder
-
Encoded audio data and its associated RFC 2045 content type (e.g.
- getEncodedAudioString() - 类 中的方法org.tensorflow.framework.Summary.Audio
-
Encoded audio data and its associated RFC 2045 content type (e.g.
- getEncodedAudioString() - 接口 中的方法org.tensorflow.framework.Summary.AudioOrBuilder
-
Encoded audio data and its associated RFC 2045 content type (e.g.
- getEncodedImageString() - 类 中的方法org.tensorflow.framework.Summary.Image.Builder
-
Image data in encoded format.
- getEncodedImageString() - 类 中的方法org.tensorflow.framework.Summary.Image
-
Image data in encoded format.
- getEncodedImageString() - 接口 中的方法org.tensorflow.framework.Summary.ImageOrBuilder
-
Image data in encoded format.
- getEncodingCase() - 类 中的方法org.tensorflow.framework.TensorInfo.Builder
-
- getEncodingCase() - 类 中的方法org.tensorflow.framework.TensorInfo
-
- getEncodingCase() - 接口 中的方法org.tensorflow.framework.TensorInfoOrBuilder
-
- getEndianness() - 类 中的方法org.tensorflow.util.BundleHeaderProto.Builder
-
.tensorflow.BundleHeaderProto.Endianness endianness = 2;
- getEndianness() - 类 中的方法org.tensorflow.util.BundleHeaderProto
-
.tensorflow.BundleHeaderProto.Endianness endianness = 2;
- getEndianness() - 接口 中的方法org.tensorflow.util.BundleHeaderProtoOrBuilder
-
.tensorflow.BundleHeaderProto.Endianness endianness = 2;
- getEndiannessValue() - 类 中的方法org.tensorflow.util.BundleHeaderProto.Builder
-
.tensorflow.BundleHeaderProto.Endianness endianness = 2;
- getEndiannessValue() - 类 中的方法org.tensorflow.util.BundleHeaderProto
-
.tensorflow.BundleHeaderProto.Endianness endianness = 2;
- getEndiannessValue() - 接口 中的方法org.tensorflow.util.BundleHeaderProtoOrBuilder
-
.tensorflow.BundleHeaderProto.Endianness endianness = 2;
- getEndpoint(int) - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpoint(int) - 类 中的方法org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpoint(int) - 接口 中的方法org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointBuilder(int) - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointBuilderList() - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointCount() - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointCount() - 类 中的方法org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointCount() - 接口 中的方法org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointList() - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointList() - 类 中的方法org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointList() - 接口 中的方法org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointOrBuilder(int) - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointOrBuilder(int) - 类 中的方法org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointOrBuilder(int) - 接口 中的方法org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointOrBuilderList() - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointOrBuilderList() - 类 中的方法org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointOrBuilderList() - 接口 中的方法org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEnqueueMethod() - 类 中的静态方法tensorflow.eager.EagerServiceGrpc
-
- getEnqueueOpName(int) - 类 中的方法org.tensorflow.framework.QueueRunnerDef.Builder
-
A list of enqueue operations.
- getEnqueueOpName(int) - 类 中的方法org.tensorflow.framework.QueueRunnerDef
-
A list of enqueue operations.
- getEnqueueOpName(int) - 接口 中的方法org.tensorflow.framework.QueueRunnerDefOrBuilder
-
A list of enqueue operations.
- getEnqueueOpNameBytes(int) - 类 中的方法org.tensorflow.framework.QueueRunnerDef.Builder
-
A list of enqueue operations.
- getEnqueueOpNameBytes(int) - 类 中的方法org.tensorflow.framework.QueueRunnerDef
-
A list of enqueue operations.
- getEnqueueOpNameBytes(int) - 接口 中的方法org.tensorflow.framework.QueueRunnerDefOrBuilder
-
A list of enqueue operations.
- getEnqueueOpNameCount() - 类 中的方法org.tensorflow.framework.QueueRunnerDef.Builder
-
A list of enqueue operations.
- getEnqueueOpNameCount() - 类 中的方法org.tensorflow.framework.QueueRunnerDef
-
A list of enqueue operations.
- getEnqueueOpNameCount() - 接口 中的方法org.tensorflow.framework.QueueRunnerDefOrBuilder
-
A list of enqueue operations.
- getEnqueueOpNameList() - 类 中的方法org.tensorflow.framework.QueueRunnerDef.Builder
-
A list of enqueue operations.
- getEnqueueOpNameList() - 类 中的方法org.tensorflow.framework.QueueRunnerDef
-
A list of enqueue operations.
- getEnqueueOpNameList() - 接口 中的方法org.tensorflow.framework.QueueRunnerDefOrBuilder
-
A list of enqueue operations.
- getEnvironment() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
已过时。
- getEnvironment() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties
-
已过时。
- getEnvironment() - 接口 中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
已过时。
- getEnvironmentCount() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
- getEnvironmentCount() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties
-
- getEnvironmentCount() - 接口 中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
Version of the tools and libraries used with this device (e.g. gcc 4.9,
cudnn 5.1)
map<string, string> environment = 6;
- getEnvironmentMap() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Version of the tools and libraries used with this device (e.g. gcc 4.9,
cudnn 5.1)
map<string, string> environment = 6;
- getEnvironmentMap() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties
-
Version of the tools and libraries used with this device (e.g. gcc 4.9,
cudnn 5.1)
map<string, string> environment = 6;
- getEnvironmentMap() - 接口 中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
Version of the tools and libraries used with this device (e.g. gcc 4.9,
cudnn 5.1)
map<string, string> environment = 6;
- getEnvironmentOrDefault(String, String) - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Version of the tools and libraries used with this device (e.g. gcc 4.9,
cudnn 5.1)
map<string, string> environment = 6;
- getEnvironmentOrDefault(String, String) - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties
-
Version of the tools and libraries used with this device (e.g. gcc 4.9,
cudnn 5.1)
map<string, string> environment = 6;
- getEnvironmentOrDefault(String, String) - 接口 中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
Version of the tools and libraries used with this device (e.g. gcc 4.9,
cudnn 5.1)
map<string, string> environment = 6;
- getEnvironmentOrThrow(String) - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Version of the tools and libraries used with this device (e.g. gcc 4.9,
cudnn 5.1)
map<string, string> environment = 6;
- getEnvironmentOrThrow(String) - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties
-
Version of the tools and libraries used with this device (e.g. gcc 4.9,
cudnn 5.1)
map<string, string> environment = 6;
- getEnvironmentOrThrow(String) - 接口 中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
Version of the tools and libraries used with this device (e.g. gcc 4.9,
cudnn 5.1)
map<string, string> environment = 6;
- getErrorCode() - 类 中的方法tensorflow.serving.Status.StatusProto.Builder
-
Error code.
- getErrorCode() - 类 中的方法tensorflow.serving.Status.StatusProto
-
Error code.
- getErrorCode() - 接口 中的方法tensorflow.serving.Status.StatusProtoOrBuilder
-
Error code.
- getErrorCodeValue() - 类 中的方法tensorflow.serving.Status.StatusProto.Builder
-
Error code.
- getErrorCodeValue() - 类 中的方法tensorflow.serving.Status.StatusProto
-
Error code.
- getErrorCodeValue() - 接口 中的方法tensorflow.serving.Status.StatusProtoOrBuilder
-
Error code.
- getErrorMessage() - 类 中的方法tensorflow.serving.Status.StatusProto.Builder
-
Error message.
- getErrorMessage() - 类 中的方法tensorflow.serving.Status.StatusProto
-
Error message.
- getErrorMessage() - 接口 中的方法tensorflow.serving.Status.StatusProtoOrBuilder
-
Error message.
- getErrorMessageBytes() - 类 中的方法tensorflow.serving.Status.StatusProto.Builder
-
Error message.
- getErrorMessageBytes() - 类 中的方法tensorflow.serving.Status.StatusProto
-
Error message.
- getErrorMessageBytes() - 接口 中的方法tensorflow.serving.Status.StatusProtoOrBuilder
-
Error message.
- getExampleList() - 类 中的方法tensorflow.serving.InputOuterClass.Input.Builder
-
.tensorflow.serving.ExampleList example_list = 1 [lazy = true];
- getExampleList() - 类 中的方法tensorflow.serving.InputOuterClass.Input
-
.tensorflow.serving.ExampleList example_list = 1 [lazy = true];
- getExampleList() - 接口 中的方法tensorflow.serving.InputOuterClass.InputOrBuilder
-
.tensorflow.serving.ExampleList example_list = 1 [lazy = true];
- getExampleList() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder
-
.tensorflow.serving.internal.SerializedExampleList example_list = 1;
- getExampleList() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
-
.tensorflow.serving.internal.SerializedExampleList example_list = 1;
- getExampleList() - 接口 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInputOrBuilder
-
.tensorflow.serving.internal.SerializedExampleList example_list = 1;
- getExampleListBuilder() - 类 中的方法tensorflow.serving.InputOuterClass.Input.Builder
-
.tensorflow.serving.ExampleList example_list = 1 [lazy = true];
- getExampleListBuilder() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder
-
.tensorflow.serving.internal.SerializedExampleList example_list = 1;
- getExampleListOrBuilder() - 类 中的方法tensorflow.serving.InputOuterClass.Input.Builder
-
.tensorflow.serving.ExampleList example_list = 1 [lazy = true];
- getExampleListOrBuilder() - 类 中的方法tensorflow.serving.InputOuterClass.Input
-
.tensorflow.serving.ExampleList example_list = 1 [lazy = true];
- getExampleListOrBuilder() - 接口 中的方法tensorflow.serving.InputOuterClass.InputOrBuilder
-
.tensorflow.serving.ExampleList example_list = 1 [lazy = true];
- getExampleListOrBuilder() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder
-
.tensorflow.serving.internal.SerializedExampleList example_list = 1;
- getExampleListOrBuilder() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
-
.tensorflow.serving.internal.SerializedExampleList example_list = 1;
- getExampleListOrBuilder() - 接口 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInputOrBuilder
-
.tensorflow.serving.internal.SerializedExampleList example_list = 1;
- getExampleListWithContext() - 类 中的方法tensorflow.serving.InputOuterClass.Input.Builder
-
.tensorflow.serving.ExampleListWithContext example_list_with_context = 2 [lazy = true];
- getExampleListWithContext() - 类 中的方法tensorflow.serving.InputOuterClass.Input
-
.tensorflow.serving.ExampleListWithContext example_list_with_context = 2 [lazy = true];
- getExampleListWithContext() - 接口 中的方法tensorflow.serving.InputOuterClass.InputOrBuilder
-
.tensorflow.serving.ExampleListWithContext example_list_with_context = 2 [lazy = true];
- getExampleListWithContext() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder
-
.tensorflow.serving.internal.SerializedExampleListWithContext example_list_with_context = 2;
- getExampleListWithContext() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
-
.tensorflow.serving.internal.SerializedExampleListWithContext example_list_with_context = 2;
- getExampleListWithContext() - 接口 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInputOrBuilder
-
.tensorflow.serving.internal.SerializedExampleListWithContext example_list_with_context = 2;
- getExampleListWithContextBuilder() - 类 中的方法tensorflow.serving.InputOuterClass.Input.Builder
-
.tensorflow.serving.ExampleListWithContext example_list_with_context = 2 [lazy = true];
- getExampleListWithContextBuilder() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder
-
.tensorflow.serving.internal.SerializedExampleListWithContext example_list_with_context = 2;
- getExampleListWithContextOrBuilder() - 类 中的方法tensorflow.serving.InputOuterClass.Input.Builder
-
.tensorflow.serving.ExampleListWithContext example_list_with_context = 2 [lazy = true];
- getExampleListWithContextOrBuilder() - 类 中的方法tensorflow.serving.InputOuterClass.Input
-
.tensorflow.serving.ExampleListWithContext example_list_with_context = 2 [lazy = true];
- getExampleListWithContextOrBuilder() - 接口 中的方法tensorflow.serving.InputOuterClass.InputOrBuilder
-
.tensorflow.serving.ExampleListWithContext example_list_with_context = 2 [lazy = true];
- getExampleListWithContextOrBuilder() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder
-
.tensorflow.serving.internal.SerializedExampleListWithContext example_list_with_context = 2;
- getExampleListWithContextOrBuilder() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
-
.tensorflow.serving.internal.SerializedExampleListWithContext example_list_with_context = 2;
- getExampleListWithContextOrBuilder() - 接口 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInputOrBuilder
-
.tensorflow.serving.internal.SerializedExampleListWithContext example_list_with_context = 2;
- getExamples(int) - 类 中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder
-
repeated .tensorflow.Example examples = 1;
- getExamples(int) - 类 中的方法tensorflow.serving.InputOuterClass.ExampleList
-
repeated .tensorflow.Example examples = 1;
- getExamples(int) - 接口 中的方法tensorflow.serving.InputOuterClass.ExampleListOrBuilder
-
repeated .tensorflow.Example examples = 1;
- getExamples(int) - 类 中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder
-
repeated .tensorflow.Example examples = 1;
- getExamples(int) - 类 中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext
-
repeated .tensorflow.Example examples = 1;
- getExamples(int) - 接口 中的方法tensorflow.serving.InputOuterClass.ExampleListWithContextOrBuilder
-
repeated .tensorflow.Example examples = 1;
- getExamples(int) - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList.Builder
-
repeated bytes examples = 1;
- getExamples(int) - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList
-
repeated bytes examples = 1;
- getExamples(int) - 接口 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListOrBuilder
-
repeated bytes examples = 1;
- getExamples(int) - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext.Builder
-
repeated bytes examples = 1;
- getExamples(int) - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
-
repeated bytes examples = 1;
- getExamples(int) - 接口 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContextOrBuilder
-
repeated bytes examples = 1;
- getExamplesBuilder(int) - 类 中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder
-
repeated .tensorflow.Example examples = 1;
- getExamplesBuilder(int) - 类 中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder
-
repeated .tensorflow.Example examples = 1;
- getExamplesBuilderList() - 类 中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder
-
repeated .tensorflow.Example examples = 1;
- getExamplesBuilderList() - 类 中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder
-
repeated .tensorflow.Example examples = 1;
- getExamplesCount() - 类 中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder
-
repeated .tensorflow.Example examples = 1;
- getExamplesCount() - 类 中的方法tensorflow.serving.InputOuterClass.ExampleList
-
repeated .tensorflow.Example examples = 1;
- getExamplesCount() - 接口 中的方法tensorflow.serving.InputOuterClass.ExampleListOrBuilder
-
repeated .tensorflow.Example examples = 1;
- getExamplesCount() - 类 中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder
-
repeated .tensorflow.Example examples = 1;
- getExamplesCount() - 类 中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext
-
repeated .tensorflow.Example examples = 1;
- getExamplesCount() - 接口 中的方法tensorflow.serving.InputOuterClass.ExampleListWithContextOrBuilder
-
repeated .tensorflow.Example examples = 1;
- getExamplesCount() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList.Builder
-
repeated bytes examples = 1;
- getExamplesCount() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList
-
repeated bytes examples = 1;
- getExamplesCount() - 接口 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListOrBuilder
-
repeated bytes examples = 1;
- getExamplesCount() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext.Builder
-
repeated bytes examples = 1;
- getExamplesCount() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
-
repeated bytes examples = 1;
- getExamplesCount() - 接口 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContextOrBuilder
-
repeated bytes examples = 1;
- getExamplesList() - 类 中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder
-
repeated .tensorflow.Example examples = 1;
- getExamplesList() - 类 中的方法tensorflow.serving.InputOuterClass.ExampleList
-
repeated .tensorflow.Example examples = 1;
- getExamplesList() - 接口 中的方法tensorflow.serving.InputOuterClass.ExampleListOrBuilder
-
repeated .tensorflow.Example examples = 1;
- getExamplesList() - 类 中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder
-
repeated .tensorflow.Example examples = 1;
- getExamplesList() - 类 中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext
-
repeated .tensorflow.Example examples = 1;
- getExamplesList() - 接口 中的方法tensorflow.serving.InputOuterClass.ExampleListWithContextOrBuilder
-
repeated .tensorflow.Example examples = 1;
- getExamplesList() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList.Builder
-
repeated bytes examples = 1;
- getExamplesList() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList
-
repeated bytes examples = 1;
- getExamplesList() - 接口 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListOrBuilder
-
repeated bytes examples = 1;
- getExamplesList() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext.Builder
-
repeated bytes examples = 1;
- getExamplesList() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
-
repeated bytes examples = 1;
- getExamplesList() - 接口 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContextOrBuilder
-
repeated bytes examples = 1;
- getExamplesOrBuilder(int) - 类 中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder
-
repeated .tensorflow.Example examples = 1;
- getExamplesOrBuilder(int) - 类 中的方法tensorflow.serving.InputOuterClass.ExampleList
-
repeated .tensorflow.Example examples = 1;
- getExamplesOrBuilder(int) - 接口 中的方法tensorflow.serving.InputOuterClass.ExampleListOrBuilder
-
repeated .tensorflow.Example examples = 1;
- getExamplesOrBuilder(int) - 类 中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder
-
repeated .tensorflow.Example examples = 1;
- getExamplesOrBuilder(int) - 类 中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext
-
repeated .tensorflow.Example examples = 1;
- getExamplesOrBuilder(int) - 接口 中的方法tensorflow.serving.InputOuterClass.ExampleListWithContextOrBuilder
-
repeated .tensorflow.Example examples = 1;
- getExamplesOrBuilderList() - 类 中的方法tensorflow.serving.InputOuterClass.ExampleList.Builder
-
repeated .tensorflow.Example examples = 1;
- getExamplesOrBuilderList() - 类 中的方法tensorflow.serving.InputOuterClass.ExampleList
-
repeated .tensorflow.Example examples = 1;
- getExamplesOrBuilderList() - 接口 中的方法tensorflow.serving.InputOuterClass.ExampleListOrBuilder
-
repeated .tensorflow.Example examples = 1;
- getExamplesOrBuilderList() - 类 中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext.Builder
-
repeated .tensorflow.Example examples = 1;
- getExamplesOrBuilderList() - 类 中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext
-
repeated .tensorflow.Example examples = 1;
- getExamplesOrBuilderList() - 接口 中的方法tensorflow.serving.InputOuterClass.ExampleListWithContextOrBuilder
-
repeated .tensorflow.Example examples = 1;
- getExclusiveResourceAccess() - 类 中的方法org.tensorflow.framework.CriticalSectionExecutionDef.Builder
-
Whether this operation requires exclusive access to its resources,
(i.e., no other CriticalSections may request the same resources).
- getExclusiveResourceAccess() - 类 中的方法org.tensorflow.framework.CriticalSectionExecutionDef
-
Whether this operation requires exclusive access to its resources,
(i.e., no other CriticalSections may request the same resources).
- getExclusiveResourceAccess() - 接口 中的方法org.tensorflow.framework.CriticalSectionExecutionDefOrBuilder
-
Whether this operation requires exclusive access to its resources,
(i.e., no other CriticalSections may request the same resources).
- getExecOpts() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
-
Options for this step.
- getExecOpts() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest
-
Options for this step.
- getExecOpts() - 接口 中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
Options for this step.
- getExecOptsBuilder() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
-
Options for this step.
- getExecOptsOrBuilder() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
-
Options for this step.
- getExecOptsOrBuilder() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest
-
Options for this step.
- getExecOptsOrBuilder() - 接口 中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
Options for this step.
- getExecuteInCriticalSectionName() - 类 中的方法org.tensorflow.framework.CriticalSectionExecutionDef.Builder
-
Name of the critical section handle.
- getExecuteInCriticalSectionName() - 类 中的方法org.tensorflow.framework.CriticalSectionExecutionDef
-
Name of the critical section handle.
- getExecuteInCriticalSectionName() - 接口 中的方法org.tensorflow.framework.CriticalSectionExecutionDefOrBuilder
-
Name of the critical section handle.
- getExecuteInCriticalSectionNameBytes() - 类 中的方法org.tensorflow.framework.CriticalSectionExecutionDef.Builder
-
Name of the critical section handle.
- getExecuteInCriticalSectionNameBytes() - 类 中的方法org.tensorflow.framework.CriticalSectionExecutionDef
-
Name of the critical section handle.
- getExecuteInCriticalSectionNameBytes() - 接口 中的方法org.tensorflow.framework.CriticalSectionExecutionDefOrBuilder
-
Name of the critical section handle.
- getExecutorName() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Executor's name
string executor_name = 4;
- getExecutorName() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Executor's name
string executor_name = 4;
- getExecutorName() - 接口 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Executor's name
string executor_name = 4;
- getExecutorNameBytes() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Executor's name
string executor_name = 4;
- getExecutorNameBytes() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Executor's name
string executor_name = 4;
- getExecutorNameBytes() - 接口 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Executor's name
string executor_name = 4;
- getExecutorType() - 类 中的方法org.tensorflow.framework.ConfigProto.Experimental.Builder
-
Which executor to use, the default executor will be used
if it is an empty string or "DEFAULT"
string executor_type = 3;
- getExecutorType() - 类 中的方法org.tensorflow.framework.ConfigProto.Experimental
-
Which executor to use, the default executor will be used
if it is an empty string or "DEFAULT"
string executor_type = 3;
- getExecutorType() - 接口 中的方法org.tensorflow.framework.ConfigProto.ExperimentalOrBuilder
-
Which executor to use, the default executor will be used
if it is an empty string or "DEFAULT"
string executor_type = 3;
- getExecutorTypeBytes() - 类 中的方法org.tensorflow.framework.ConfigProto.Experimental.Builder
-
Which executor to use, the default executor will be used
if it is an empty string or "DEFAULT"
string executor_type = 3;
- getExecutorTypeBytes() - 类 中的方法org.tensorflow.framework.ConfigProto.Experimental
-
Which executor to use, the default executor will be used
if it is an empty string or "DEFAULT"
string executor_type = 3;
- getExecutorTypeBytes() - 接口 中的方法org.tensorflow.framework.ConfigProto.ExperimentalOrBuilder
-
Which executor to use, the default executor will be used
if it is an empty string or "DEFAULT"
string executor_type = 3;
- getExperimental() - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
.tensorflow.ConfigProto.Experimental experimental = 16;
- getExperimental() - 类 中的方法org.tensorflow.framework.ConfigProto
-
.tensorflow.ConfigProto.Experimental experimental = 16;
- getExperimental() - 接口 中的方法org.tensorflow.framework.ConfigProtoOrBuilder
-
.tensorflow.ConfigProto.Experimental experimental = 16;
- getExperimental() - 类 中的方法org.tensorflow.framework.GPUOptions.Builder
-
Everything inside experimental is subject to change and is not subject
to API stability guarantees in
https://www.tensorflow.org/guide/version_compat.
- getExperimental() - 类 中的方法org.tensorflow.framework.GPUOptions
-
Everything inside experimental is subject to change and is not subject
to API stability guarantees in
https://www.tensorflow.org/guide/version_compat.
- getExperimental() - 接口 中的方法org.tensorflow.framework.GPUOptionsOrBuilder
-
Everything inside experimental is subject to change and is not subject
to API stability guarantees in
https://www.tensorflow.org/guide/version_compat.
- getExperimental() - 类 中的方法org.tensorflow.framework.RunOptions.Builder
-
.tensorflow.RunOptions.Experimental experimental = 8;
- getExperimental() - 类 中的方法org.tensorflow.framework.RunOptions
-
.tensorflow.RunOptions.Experimental experimental = 8;
- getExperimental() - 接口 中的方法org.tensorflow.framework.RunOptionsOrBuilder
-
.tensorflow.RunOptions.Experimental experimental = 8;
- getExperimentalBuilder() - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
.tensorflow.ConfigProto.Experimental experimental = 16;
- getExperimentalBuilder() - 类 中的方法org.tensorflow.framework.GPUOptions.Builder
-
Everything inside experimental is subject to change and is not subject
to API stability guarantees in
https://www.tensorflow.org/guide/version_compat.
- getExperimentalBuilder() - 类 中的方法org.tensorflow.framework.RunOptions.Builder
-
.tensorflow.RunOptions.Experimental experimental = 8;
- getExperimentalOrBuilder() - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
.tensorflow.ConfigProto.Experimental experimental = 16;
- getExperimentalOrBuilder() - 类 中的方法org.tensorflow.framework.ConfigProto
-
.tensorflow.ConfigProto.Experimental experimental = 16;
- getExperimentalOrBuilder() - 接口 中的方法org.tensorflow.framework.ConfigProtoOrBuilder
-
.tensorflow.ConfigProto.Experimental experimental = 16;
- getExperimentalOrBuilder() - 类 中的方法org.tensorflow.framework.GPUOptions.Builder
-
Everything inside experimental is subject to change and is not subject
to API stability guarantees in
https://www.tensorflow.org/guide/version_compat.
- getExperimentalOrBuilder() - 类 中的方法org.tensorflow.framework.GPUOptions
-
Everything inside experimental is subject to change and is not subject
to API stability guarantees in
https://www.tensorflow.org/guide/version_compat.
- getExperimentalOrBuilder() - 接口 中的方法org.tensorflow.framework.GPUOptionsOrBuilder
-
Everything inside experimental is subject to change and is not subject
to API stability guarantees in
https://www.tensorflow.org/guide/version_compat.
- getExperimentalOrBuilder() - 类 中的方法org.tensorflow.framework.RunOptions.Builder
-
.tensorflow.RunOptions.Experimental experimental = 8;
- getExperimentalOrBuilder() - 类 中的方法org.tensorflow.framework.RunOptions
-
.tensorflow.RunOptions.Experimental experimental = 8;
- getExperimentalOrBuilder() - 接口 中的方法org.tensorflow.framework.RunOptionsOrBuilder
-
.tensorflow.RunOptions.Experimental experimental = 8;
- getExplanation() - 类 中的方法org.tensorflow.framework.OpDeprecation.Builder
-
Explanation of why it was deprecated and what to use instead.
- getExplanation() - 类 中的方法org.tensorflow.framework.OpDeprecation
-
Explanation of why it was deprecated and what to use instead.
- getExplanation() - 接口 中的方法org.tensorflow.framework.OpDeprecationOrBuilder
-
Explanation of why it was deprecated and what to use instead.
- getExplanationBytes() - 类 中的方法org.tensorflow.framework.OpDeprecation.Builder
-
Explanation of why it was deprecated and what to use instead.
- getExplanationBytes() - 类 中的方法org.tensorflow.framework.OpDeprecation
-
Explanation of why it was deprecated and what to use instead.
- getExplanationBytes() - 接口 中的方法org.tensorflow.framework.OpDeprecationOrBuilder
-
Explanation of why it was deprecated and what to use instead.
- getExtendSessionMethod() - 类 中的静态方法org.tensorflow.distruntime.MasterServiceGrpc
-
- getExtent(int) - 类 中的方法org.tensorflow.framework.TensorSliceProto.Builder
-
Extent of the slice in all tensor dimensions.
- getExtent(int) - 类 中的方法org.tensorflow.framework.TensorSliceProto
-
Extent of the slice in all tensor dimensions.
- getExtent(int) - 接口 中的方法org.tensorflow.framework.TensorSliceProtoOrBuilder
-
Extent of the slice in all tensor dimensions.
- getExtentBuilder(int) - 类 中的方法org.tensorflow.framework.TensorSliceProto.Builder
-
Extent of the slice in all tensor dimensions.
- getExtentBuilderList() - 类 中的方法org.tensorflow.framework.TensorSliceProto.Builder
-
Extent of the slice in all tensor dimensions.
- getExtentCount() - 类 中的方法org.tensorflow.framework.TensorSliceProto.Builder
-
Extent of the slice in all tensor dimensions.
- getExtentCount() - 类 中的方法org.tensorflow.framework.TensorSliceProto
-
Extent of the slice in all tensor dimensions.
- getExtentCount() - 接口 中的方法org.tensorflow.framework.TensorSliceProtoOrBuilder
-
Extent of the slice in all tensor dimensions.
- getExtentList() - 类 中的方法org.tensorflow.framework.TensorSliceProto.Builder
-
Extent of the slice in all tensor dimensions.
- getExtentList() - 类 中的方法org.tensorflow.framework.TensorSliceProto
-
Extent of the slice in all tensor dimensions.
- getExtentList() - 接口 中的方法org.tensorflow.framework.TensorSliceProtoOrBuilder
-
Extent of the slice in all tensor dimensions.
- getExtentOrBuilder(int) - 类 中的方法org.tensorflow.framework.TensorSliceProto.Builder
-
Extent of the slice in all tensor dimensions.
- getExtentOrBuilder(int) - 类 中的方法org.tensorflow.framework.TensorSliceProto
-
Extent of the slice in all tensor dimensions.
- getExtentOrBuilder(int) - 接口 中的方法org.tensorflow.framework.TensorSliceProtoOrBuilder
-
Extent of the slice in all tensor dimensions.
- getExtentOrBuilderList() - 类 中的方法org.tensorflow.framework.TensorSliceProto.Builder
-
Extent of the slice in all tensor dimensions.
- getExtentOrBuilderList() - 类 中的方法org.tensorflow.framework.TensorSliceProto
-
Extent of the slice in all tensor dimensions.
- getExtentOrBuilderList() - 接口 中的方法org.tensorflow.framework.TensorSliceProtoOrBuilder
-
Extent of the slice in all tensor dimensions.
- getExternalValues() - 类 中的方法org.tensorflow.framework.ValuesDef.Builder
-
已过时。
- getExternalValues() - 类 中的方法org.tensorflow.framework.ValuesDef
-
已过时。
- getExternalValues() - 接口 中的方法org.tensorflow.framework.ValuesDefOrBuilder
-
已过时。
- getExternalValuesCount() - 类 中的方法org.tensorflow.framework.ValuesDef.Builder
-
- getExternalValuesCount() - 类 中的方法org.tensorflow.framework.ValuesDef
-
- getExternalValuesCount() - 接口 中的方法org.tensorflow.framework.ValuesDefOrBuilder
-
Value names referenced by but external to this context.
- getExternalValuesMap() - 类 中的方法org.tensorflow.framework.ValuesDef.Builder
-
Value names referenced by but external to this context.
- getExternalValuesMap() - 类 中的方法org.tensorflow.framework.ValuesDef
-
Value names referenced by but external to this context.
- getExternalValuesMap() - 接口 中的方法org.tensorflow.framework.ValuesDefOrBuilder
-
Value names referenced by but external to this context.
- getExternalValuesOrDefault(String, String) - 类 中的方法org.tensorflow.framework.ValuesDef.Builder
-
Value names referenced by but external to this context.
- getExternalValuesOrDefault(String, String) - 类 中的方法org.tensorflow.framework.ValuesDef
-
Value names referenced by but external to this context.
- getExternalValuesOrDefault(String, String) - 接口 中的方法org.tensorflow.framework.ValuesDefOrBuilder
-
Value names referenced by but external to this context.
- getExternalValuesOrThrow(String) - 类 中的方法org.tensorflow.framework.ValuesDef.Builder
-
Value names referenced by but external to this context.
- getExternalValuesOrThrow(String) - 类 中的方法org.tensorflow.framework.ValuesDef
-
Value names referenced by but external to this context.
- getExternalValuesOrThrow(String) - 接口 中的方法org.tensorflow.framework.ValuesDefOrBuilder
-
Value names referenced by but external to this context.
- getF() - 类 中的方法org.tensorflow.framework.AttrValue.Builder
-
"float"
float f = 4;
- getF() - 类 中的方法org.tensorflow.framework.AttrValue
-
"float"
float f = 4;
- getF(int) - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(float)"
repeated float f = 4 [packed = true];
- getF(int) - 类 中的方法org.tensorflow.framework.AttrValue.ListValue
-
"list(float)"
repeated float f = 4 [packed = true];
- getF(int) - 接口 中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(float)"
repeated float f = 4 [packed = true];
- getF() - 接口 中的方法org.tensorflow.framework.AttrValueOrBuilder
-
"float"
float f = 4;
- getFailIfZeroVersionsAtStartup() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder
-
If true, then FileSystemStoragePathSource::Create() and ::UpdateConfig()
fail if, for any configured servables, the file system doesn't currently
contain at least one version under the base path.
- getFailIfZeroVersionsAtStartup() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
-
If true, then FileSystemStoragePathSource::Create() and ::UpdateConfig()
fail if, for any configured servables, the file system doesn't currently
contain at least one version under the base path.
- getFailIfZeroVersionsAtStartup() - 接口 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfigOrBuilder
-
If true, then FileSystemStoragePathSource::Create() and ::UpdateConfig()
fail if, for any configured servables, the file system doesn't currently
contain at least one version under the base path.
- getFCount() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(float)"
repeated float f = 4 [packed = true];
- getFCount() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue
-
"list(float)"
repeated float f = 4 [packed = true];
- getFCount() - 接口 中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(float)"
repeated float f = 4 [packed = true];
- getFeature(int) - 类 中的方法org.tensorflow.example.FeatureList.Builder
-
repeated .tensorflow.Feature feature = 1;
- getFeature(int) - 类 中的方法org.tensorflow.example.FeatureList
-
repeated .tensorflow.Feature feature = 1;
- getFeature(int) - 接口 中的方法org.tensorflow.example.FeatureListOrBuilder
-
repeated .tensorflow.Feature feature = 1;
- getFeature() - 类 中的方法org.tensorflow.example.Features.Builder
-
已过时。
- getFeature() - 类 中的方法org.tensorflow.example.Features
-
已过时。
- getFeature() - 接口 中的方法org.tensorflow.example.FeaturesOrBuilder
-
已过时。
- getFeatureBuilder(int) - 类 中的方法org.tensorflow.example.FeatureList.Builder
-
repeated .tensorflow.Feature feature = 1;
- getFeatureBuilderList() - 类 中的方法org.tensorflow.example.FeatureList.Builder
-
repeated .tensorflow.Feature feature = 1;
- getFeatureCount() - 类 中的方法org.tensorflow.example.FeatureList.Builder
-
repeated .tensorflow.Feature feature = 1;
- getFeatureCount() - 类 中的方法org.tensorflow.example.FeatureList
-
repeated .tensorflow.Feature feature = 1;
- getFeatureCount() - 接口 中的方法org.tensorflow.example.FeatureListOrBuilder
-
repeated .tensorflow.Feature feature = 1;
- getFeatureCount() - 类 中的方法org.tensorflow.example.Features.Builder
-
- getFeatureCount() - 类 中的方法org.tensorflow.example.Features
-
- getFeatureCount() - 接口 中的方法org.tensorflow.example.FeaturesOrBuilder
-
Map from feature name to feature.
- getFeatureList() - 类 中的方法org.tensorflow.example.FeatureList.Builder
-
repeated .tensorflow.Feature feature = 1;
- getFeatureList() - 类 中的方法org.tensorflow.example.FeatureList
-
repeated .tensorflow.Feature feature = 1;
- getFeatureList() - 接口 中的方法org.tensorflow.example.FeatureListOrBuilder
-
repeated .tensorflow.Feature feature = 1;
- getFeatureList() - 类 中的方法org.tensorflow.example.FeatureLists.Builder
-
已过时。
- getFeatureList() - 类 中的方法org.tensorflow.example.FeatureLists
-
已过时。
- getFeatureList() - 接口 中的方法org.tensorflow.example.FeatureListsOrBuilder
-
已过时。
- getFeatureListCount() - 类 中的方法org.tensorflow.example.FeatureLists.Builder
-
- getFeatureListCount() - 类 中的方法org.tensorflow.example.FeatureLists
-
- getFeatureListCount() - 接口 中的方法org.tensorflow.example.FeatureListsOrBuilder
-
Map from feature name to feature list.
- getFeatureListMap() - 类 中的方法org.tensorflow.example.FeatureLists.Builder
-
Map from feature name to feature list.
- getFeatureListMap() - 类 中的方法org.tensorflow.example.FeatureLists
-
Map from feature name to feature list.
- getFeatureListMap() - 接口 中的方法org.tensorflow.example.FeatureListsOrBuilder
-
Map from feature name to feature list.
- getFeatureListOrDefault(String, FeatureList) - 类 中的方法org.tensorflow.example.FeatureLists.Builder
-
Map from feature name to feature list.
- getFeatureListOrDefault(String, FeatureList) - 类 中的方法org.tensorflow.example.FeatureLists
-
Map from feature name to feature list.
- getFeatureListOrDefault(String, FeatureList) - 接口 中的方法org.tensorflow.example.FeatureListsOrBuilder
-
Map from feature name to feature list.
- getFeatureListOrThrow(String) - 类 中的方法org.tensorflow.example.FeatureLists.Builder
-
Map from feature name to feature list.
- getFeatureListOrThrow(String) - 类 中的方法org.tensorflow.example.FeatureLists
-
Map from feature name to feature list.
- getFeatureListOrThrow(String) - 接口 中的方法org.tensorflow.example.FeatureListsOrBuilder
-
Map from feature name to feature list.
- getFeatureLists() - 类 中的方法org.tensorflow.example.SequenceExample.Builder
-
.tensorflow.FeatureLists feature_lists = 2;
- getFeatureLists() - 类 中的方法org.tensorflow.example.SequenceExample
-
.tensorflow.FeatureLists feature_lists = 2;
- getFeatureLists() - 接口 中的方法org.tensorflow.example.SequenceExampleOrBuilder
-
.tensorflow.FeatureLists feature_lists = 2;
- getFeatureListsBuilder() - 类 中的方法org.tensorflow.example.SequenceExample.Builder
-
.tensorflow.FeatureLists feature_lists = 2;
- getFeatureListsOrBuilder() - 类 中的方法org.tensorflow.example.SequenceExample.Builder
-
.tensorflow.FeatureLists feature_lists = 2;
- getFeatureListsOrBuilder() - 类 中的方法org.tensorflow.example.SequenceExample
-
.tensorflow.FeatureLists feature_lists = 2;
- getFeatureListsOrBuilder() - 接口 中的方法org.tensorflow.example.SequenceExampleOrBuilder
-
.tensorflow.FeatureLists feature_lists = 2;
- getFeatureMap() - 类 中的方法org.tensorflow.example.ExampleParserConfiguration.Builder
-
已过时。
- getFeatureMap() - 类 中的方法org.tensorflow.example.ExampleParserConfiguration
-
已过时。
- getFeatureMap() - 接口 中的方法org.tensorflow.example.ExampleParserConfigurationOrBuilder
-
已过时。
- getFeatureMap() - 类 中的方法org.tensorflow.example.Features.Builder
-
Map from feature name to feature.
- getFeatureMap() - 类 中的方法org.tensorflow.example.Features
-
Map from feature name to feature.
- getFeatureMap() - 接口 中的方法org.tensorflow.example.FeaturesOrBuilder
-
Map from feature name to feature.
- getFeatureMapCount() - 类 中的方法org.tensorflow.example.ExampleParserConfiguration.Builder
-
- getFeatureMapCount() - 类 中的方法org.tensorflow.example.ExampleParserConfiguration
-
- getFeatureMapCount() - 接口 中的方法org.tensorflow.example.ExampleParserConfigurationOrBuilder
-
map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
- getFeatureMapMap() - 类 中的方法org.tensorflow.example.ExampleParserConfiguration.Builder
-
map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
- getFeatureMapMap() - 类 中的方法org.tensorflow.example.ExampleParserConfiguration
-
map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
- getFeatureMapMap() - 接口 中的方法org.tensorflow.example.ExampleParserConfigurationOrBuilder
-
map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
- getFeatureMapOrDefault(String, FeatureConfiguration) - 类 中的方法org.tensorflow.example.ExampleParserConfiguration.Builder
-
map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
- getFeatureMapOrDefault(String, FeatureConfiguration) - 类 中的方法org.tensorflow.example.ExampleParserConfiguration
-
map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
- getFeatureMapOrDefault(String, FeatureConfiguration) - 接口 中的方法org.tensorflow.example.ExampleParserConfigurationOrBuilder
-
map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
- getFeatureMapOrThrow(String) - 类 中的方法org.tensorflow.example.ExampleParserConfiguration.Builder
-
map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
- getFeatureMapOrThrow(String) - 类 中的方法org.tensorflow.example.ExampleParserConfiguration
-
map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
- getFeatureMapOrThrow(String) - 接口 中的方法org.tensorflow.example.ExampleParserConfigurationOrBuilder
-
map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
- getFeatureOrBuilder(int) - 类 中的方法org.tensorflow.example.FeatureList.Builder
-
repeated .tensorflow.Feature feature = 1;
- getFeatureOrBuilder(int) - 类 中的方法org.tensorflow.example.FeatureList
-
repeated .tensorflow.Feature feature = 1;
- getFeatureOrBuilder(int) - 接口 中的方法org.tensorflow.example.FeatureListOrBuilder
-
repeated .tensorflow.Feature feature = 1;
- getFeatureOrBuilderList() - 类 中的方法org.tensorflow.example.FeatureList.Builder
-
repeated .tensorflow.Feature feature = 1;
- getFeatureOrBuilderList() - 类 中的方法org.tensorflow.example.FeatureList
-
repeated .tensorflow.Feature feature = 1;
- getFeatureOrBuilderList() - 接口 中的方法org.tensorflow.example.FeatureListOrBuilder
-
repeated .tensorflow.Feature feature = 1;
- getFeatureOrDefault(String, Feature) - 类 中的方法org.tensorflow.example.Features.Builder
-
Map from feature name to feature.
- getFeatureOrDefault(String, Feature) - 类 中的方法org.tensorflow.example.Features
-
Map from feature name to feature.
- getFeatureOrDefault(String, Feature) - 接口 中的方法org.tensorflow.example.FeaturesOrBuilder
-
Map from feature name to feature.
- getFeatureOrThrow(String) - 类 中的方法org.tensorflow.example.Features.Builder
-
Map from feature name to feature.
- getFeatureOrThrow(String) - 类 中的方法org.tensorflow.example.Features
-
Map from feature name to feature.
- getFeatureOrThrow(String) - 接口 中的方法org.tensorflow.example.FeaturesOrBuilder
-
Map from feature name to feature.
- getFeatures() - 类 中的方法org.tensorflow.example.Example.Builder
-
.tensorflow.Features features = 1;
- getFeatures() - 类 中的方法org.tensorflow.example.Example
-
.tensorflow.Features features = 1;
- getFeatures() - 接口 中的方法org.tensorflow.example.ExampleOrBuilder
-
.tensorflow.Features features = 1;
- getFeaturesBuilder() - 类 中的方法org.tensorflow.example.Example.Builder
-
.tensorflow.Features features = 1;
- getFeaturesOrBuilder() - 类 中的方法org.tensorflow.example.Example.Builder
-
.tensorflow.Features features = 1;
- getFeaturesOrBuilder() - 类 中的方法org.tensorflow.example.Example
-
.tensorflow.Features features = 1;
- getFeaturesOrBuilder() - 接口 中的方法org.tensorflow.example.ExampleOrBuilder
-
.tensorflow.Features features = 1;
- getFeed(int) - 类 中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
Tensors to be fed in future steps.
- getFeed(int) - 类 中的方法org.tensorflow.distruntime.PartialRunSetupRequest
-
Tensors to be fed in future steps.
- getFeed(int) - 接口 中的方法org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder
-
Tensors to be fed in future steps.
- getFeed(int) - 类 中的方法org.tensorflow.distruntime.RunCallableRequest.Builder
-
Values of the tensors passed as arguments to the callable, in the order
defined in the CallableOptions.feed field passed to MakeCallable.
- getFeed(int) - 类 中的方法org.tensorflow.distruntime.RunCallableRequest
-
Values of the tensors passed as arguments to the callable, in the order
defined in the CallableOptions.feed field passed to MakeCallable.
- getFeed(int) - 接口 中的方法org.tensorflow.distruntime.RunCallableRequestOrBuilder
-
Values of the tensors passed as arguments to the callable, in the order
defined in the CallableOptions.feed field passed to MakeCallable.
- getFeed(int) - 类 中的方法org.tensorflow.distruntime.RunStepRequest.Builder
-
Tensors to be fed in the step.
- getFeed(int) - 类 中的方法org.tensorflow.distruntime.RunStepRequest
-
Tensors to be fed in the step.
- getFeed(int) - 接口 中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder
-
Tensors to be fed in the step.
- getFeed(int) - 类 中的方法org.tensorflow.framework.CallableOptions.Builder
-
Tensors to be fed in the callable.
- getFeed(int) - 类 中的方法org.tensorflow.framework.CallableOptions
-
Tensors to be fed in the callable.
- getFeed(int) - 接口 中的方法org.tensorflow.framework.CallableOptionsOrBuilder
-
Tensors to be fed in the callable.
- getFeed(int) - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
-
Tensors to be fed in the step.
- getFeed(int) - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
-
Tensors to be fed in the step.
- getFeed(int) - 接口 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequestOrBuilder
-
Tensors to be fed in the step.
- getFeedBuilder(int) - 类 中的方法org.tensorflow.distruntime.RunCallableRequest.Builder
-
Values of the tensors passed as arguments to the callable, in the order
defined in the CallableOptions.feed field passed to MakeCallable.
- getFeedBuilder(int) - 类 中的方法org.tensorflow.distruntime.RunStepRequest.Builder
-
Tensors to be fed in the step.
- getFeedBuilder(int) - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
-
Tensors to be fed in the step.
- getFeedBuilderList() - 类 中的方法org.tensorflow.distruntime.RunCallableRequest.Builder
-
Values of the tensors passed as arguments to the callable, in the order
defined in the CallableOptions.feed field passed to MakeCallable.
- getFeedBuilderList() - 类 中的方法org.tensorflow.distruntime.RunStepRequest.Builder
-
Tensors to be fed in the step.
- getFeedBuilderList() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
-
Tensors to be fed in the step.
- getFeedBytes(int) - 类 中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
Tensors to be fed in future steps.
- getFeedBytes(int) - 类 中的方法org.tensorflow.distruntime.PartialRunSetupRequest
-
Tensors to be fed in future steps.
- getFeedBytes(int) - 接口 中的方法org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder
-
Tensors to be fed in future steps.
- getFeedBytes(int) - 类 中的方法org.tensorflow.framework.CallableOptions.Builder
-
Tensors to be fed in the callable.
- getFeedBytes(int) - 类 中的方法org.tensorflow.framework.CallableOptions
-
Tensors to be fed in the callable.
- getFeedBytes(int) - 接口 中的方法org.tensorflow.framework.CallableOptionsOrBuilder
-
Tensors to be fed in the callable.
- getFeedCount() - 类 中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
Tensors to be fed in future steps.
- getFeedCount() - 类 中的方法org.tensorflow.distruntime.PartialRunSetupRequest
-
Tensors to be fed in future steps.
- getFeedCount() - 接口 中的方法org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder
-
Tensors to be fed in future steps.
- getFeedCount() - 类 中的方法org.tensorflow.distruntime.RunCallableRequest.Builder
-
Values of the tensors passed as arguments to the callable, in the order
defined in the CallableOptions.feed field passed to MakeCallable.
- getFeedCount() - 类 中的方法org.tensorflow.distruntime.RunCallableRequest
-
Values of the tensors passed as arguments to the callable, in the order
defined in the CallableOptions.feed field passed to MakeCallable.
- getFeedCount() - 接口 中的方法org.tensorflow.distruntime.RunCallableRequestOrBuilder
-
Values of the tensors passed as arguments to the callable, in the order
defined in the CallableOptions.feed field passed to MakeCallable.
- getFeedCount() - 类 中的方法org.tensorflow.distruntime.RunStepRequest.Builder
-
Tensors to be fed in the step.
- getFeedCount() - 类 中的方法org.tensorflow.distruntime.RunStepRequest
-
Tensors to be fed in the step.
- getFeedCount() - 接口 中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder
-
Tensors to be fed in the step.
- getFeedCount() - 类 中的方法org.tensorflow.framework.CallableOptions.Builder
-
Tensors to be fed in the callable.
- getFeedCount() - 类 中的方法org.tensorflow.framework.CallableOptions
-
Tensors to be fed in the callable.
- getFeedCount() - 接口 中的方法org.tensorflow.framework.CallableOptionsOrBuilder
-
Tensors to be fed in the callable.
- getFeedCount() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
-
Tensors to be fed in the step.
- getFeedCount() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
-
Tensors to be fed in the step.
- getFeedCount() - 接口 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequestOrBuilder
-
Tensors to be fed in the step.
- getFeedDevices() - 类 中的方法org.tensorflow.framework.CallableOptions.Builder
-
已过时。
- getFeedDevices() - 类 中的方法org.tensorflow.framework.CallableOptions
-
已过时。
- getFeedDevices() - 接口 中的方法org.tensorflow.framework.CallableOptionsOrBuilder
-
已过时。
- getFeedDevicesCount() - 类 中的方法org.tensorflow.framework.CallableOptions.Builder
-
- getFeedDevicesCount() - 类 中的方法org.tensorflow.framework.CallableOptions
-
- getFeedDevicesCount() - 接口 中的方法org.tensorflow.framework.CallableOptionsOrBuilder
-
The Tensor objects fed in the callable and fetched from the callable
are expected to be backed by host (CPU) memory by default.
- getFeedDevicesMap() - 类 中的方法org.tensorflow.framework.CallableOptions.Builder
-
The Tensor objects fed in the callable and fetched from the callable
are expected to be backed by host (CPU) memory by default.
- getFeedDevicesMap() - 类 中的方法org.tensorflow.framework.CallableOptions
-
The Tensor objects fed in the callable and fetched from the callable
are expected to be backed by host (CPU) memory by default.
- getFeedDevicesMap() - 接口 中的方法org.tensorflow.framework.CallableOptionsOrBuilder
-
The Tensor objects fed in the callable and fetched from the callable
are expected to be backed by host (CPU) memory by default.
- getFeedDevicesOrDefault(String, String) - 类 中的方法org.tensorflow.framework.CallableOptions.Builder
-
The Tensor objects fed in the callable and fetched from the callable
are expected to be backed by host (CPU) memory by default.
- getFeedDevicesOrDefault(String, String) - 类 中的方法org.tensorflow.framework.CallableOptions
-
The Tensor objects fed in the callable and fetched from the callable
are expected to be backed by host (CPU) memory by default.
- getFeedDevicesOrDefault(String, String) - 接口 中的方法org.tensorflow.framework.CallableOptionsOrBuilder
-
The Tensor objects fed in the callable and fetched from the callable
are expected to be backed by host (CPU) memory by default.
- getFeedDevicesOrThrow(String) - 类 中的方法org.tensorflow.framework.CallableOptions.Builder
-
The Tensor objects fed in the callable and fetched from the callable
are expected to be backed by host (CPU) memory by default.
- getFeedDevicesOrThrow(String) - 类 中的方法org.tensorflow.framework.CallableOptions
-
The Tensor objects fed in the callable and fetched from the callable
are expected to be backed by host (CPU) memory by default.
- getFeedDevicesOrThrow(String) - 接口 中的方法org.tensorflow.framework.CallableOptionsOrBuilder
-
The Tensor objects fed in the callable and fetched from the callable
are expected to be backed by host (CPU) memory by default.
- getFeedList() - 类 中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
Tensors to be fed in future steps.
- getFeedList() - 类 中的方法org.tensorflow.distruntime.PartialRunSetupRequest
-
Tensors to be fed in future steps.
- getFeedList() - 接口 中的方法org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder
-
Tensors to be fed in future steps.
- getFeedList() - 类 中的方法org.tensorflow.distruntime.RunCallableRequest.Builder
-
Values of the tensors passed as arguments to the callable, in the order
defined in the CallableOptions.feed field passed to MakeCallable.
- getFeedList() - 类 中的方法org.tensorflow.distruntime.RunCallableRequest
-
Values of the tensors passed as arguments to the callable, in the order
defined in the CallableOptions.feed field passed to MakeCallable.
- getFeedList() - 接口 中的方法org.tensorflow.distruntime.RunCallableRequestOrBuilder
-
Values of the tensors passed as arguments to the callable, in the order
defined in the CallableOptions.feed field passed to MakeCallable.
- getFeedList() - 类 中的方法org.tensorflow.distruntime.RunStepRequest.Builder
-
Tensors to be fed in the step.
- getFeedList() - 类 中的方法org.tensorflow.distruntime.RunStepRequest
-
Tensors to be fed in the step.
- getFeedList() - 接口 中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder
-
Tensors to be fed in the step.
- getFeedList() - 类 中的方法org.tensorflow.framework.CallableOptions.Builder
-
Tensors to be fed in the callable.
- getFeedList() - 类 中的方法org.tensorflow.framework.CallableOptions
-
Tensors to be fed in the callable.
- getFeedList() - 接口 中的方法org.tensorflow.framework.CallableOptionsOrBuilder
-
Tensors to be fed in the callable.
- getFeedList() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
-
Tensors to be fed in the step.
- getFeedList() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
-
Tensors to be fed in the step.
- getFeedList() - 接口 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequestOrBuilder
-
Tensors to be fed in the step.
- getFeedOrBuilder(int) - 类 中的方法org.tensorflow.distruntime.RunCallableRequest.Builder
-
Values of the tensors passed as arguments to the callable, in the order
defined in the CallableOptions.feed field passed to MakeCallable.
- getFeedOrBuilder(int) - 类 中的方法org.tensorflow.distruntime.RunCallableRequest
-
Values of the tensors passed as arguments to the callable, in the order
defined in the CallableOptions.feed field passed to MakeCallable.
- getFeedOrBuilder(int) - 接口 中的方法org.tensorflow.distruntime.RunCallableRequestOrBuilder
-
Values of the tensors passed as arguments to the callable, in the order
defined in the CallableOptions.feed field passed to MakeCallable.
- getFeedOrBuilder(int) - 类 中的方法org.tensorflow.distruntime.RunStepRequest.Builder
-
Tensors to be fed in the step.
- getFeedOrBuilder(int) - 类 中的方法org.tensorflow.distruntime.RunStepRequest
-
Tensors to be fed in the step.
- getFeedOrBuilder(int) - 接口 中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder
-
Tensors to be fed in the step.
- getFeedOrBuilder(int) - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
-
Tensors to be fed in the step.
- getFeedOrBuilder(int) - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
-
Tensors to be fed in the step.
- getFeedOrBuilder(int) - 接口 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequestOrBuilder
-
Tensors to be fed in the step.
- getFeedOrBuilderList() - 类 中的方法org.tensorflow.distruntime.RunCallableRequest.Builder
-
Values of the tensors passed as arguments to the callable, in the order
defined in the CallableOptions.feed field passed to MakeCallable.
- getFeedOrBuilderList() - 类 中的方法org.tensorflow.distruntime.RunCallableRequest
-
Values of the tensors passed as arguments to the callable, in the order
defined in the CallableOptions.feed field passed to MakeCallable.
- getFeedOrBuilderList() - 接口 中的方法org.tensorflow.distruntime.RunCallableRequestOrBuilder
-
Values of the tensors passed as arguments to the callable, in the order
defined in the CallableOptions.feed field passed to MakeCallable.
- getFeedOrBuilderList() - 类 中的方法org.tensorflow.distruntime.RunStepRequest.Builder
-
Tensors to be fed in the step.
- getFeedOrBuilderList() - 类 中的方法org.tensorflow.distruntime.RunStepRequest
-
Tensors to be fed in the step.
- getFeedOrBuilderList() - 接口 中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder
-
Tensors to be fed in the step.
- getFeedOrBuilderList() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
-
Tensors to be fed in the step.
- getFeedOrBuilderList() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
-
Tensors to be fed in the step.
- getFeedOrBuilderList() - 接口 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequestOrBuilder
-
Tensors to be fed in the step.
- getFetch(int) - 类 中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
Fetches.
- getFetch(int) - 类 中的方法org.tensorflow.distruntime.PartialRunSetupRequest
-
Fetches.
- getFetch(int) - 接口 中的方法org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder
-
Fetches.
- getFetch(int) - 类 中的方法org.tensorflow.distruntime.RunCallableResponse.Builder
-
Values of the tensors returned by the callable, in the order defined in the
CallableOptions.fetch field passed to MakeCallable.
- getFetch(int) - 类 中的方法org.tensorflow.distruntime.RunCallableResponse
-
Values of the tensors returned by the callable, in the order defined in the
CallableOptions.fetch field passed to MakeCallable.
- getFetch(int) - 接口 中的方法org.tensorflow.distruntime.RunCallableResponseOrBuilder
-
Values of the tensors returned by the callable, in the order defined in the
CallableOptions.fetch field passed to MakeCallable.
- getFetch(int) - 类 中的方法org.tensorflow.distruntime.RunStepRequest.Builder
-
Fetches.
- getFetch(int) - 类 中的方法org.tensorflow.distruntime.RunStepRequest
-
Fetches.
- getFetch(int) - 接口 中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder
-
Fetches.
- getFetch(int) - 类 中的方法org.tensorflow.framework.CallableOptions.Builder
-
Fetches.
- getFetch(int) - 类 中的方法org.tensorflow.framework.CallableOptions
-
Fetches.
- getFetch(int) - 接口 中的方法org.tensorflow.framework.CallableOptionsOrBuilder
-
Fetches.
- getFetch(int) - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
-
Fetches.
- getFetch(int) - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
-
Fetches.
- getFetch(int) - 接口 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequestOrBuilder
-
Fetches.
- getFetchBuilder(int) - 类 中的方法org.tensorflow.distruntime.RunCallableResponse.Builder
-
Values of the tensors returned by the callable, in the order defined in the
CallableOptions.fetch field passed to MakeCallable.
- getFetchBuilderList() - 类 中的方法org.tensorflow.distruntime.RunCallableResponse.Builder
-
Values of the tensors returned by the callable, in the order defined in the
CallableOptions.fetch field passed to MakeCallable.
- getFetchBytes(int) - 类 中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
Fetches.
- getFetchBytes(int) - 类 中的方法org.tensorflow.distruntime.PartialRunSetupRequest
-
Fetches.
- getFetchBytes(int) - 接口 中的方法org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder
-
Fetches.
- getFetchBytes(int) - 类 中的方法org.tensorflow.distruntime.RunStepRequest.Builder
-
Fetches.
- getFetchBytes(int) - 类 中的方法org.tensorflow.distruntime.RunStepRequest
-
Fetches.
- getFetchBytes(int) - 接口 中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder
-
Fetches.
- getFetchBytes(int) - 类 中的方法org.tensorflow.framework.CallableOptions.Builder
-
Fetches.
- getFetchBytes(int) - 类 中的方法org.tensorflow.framework.CallableOptions
-
Fetches.
- getFetchBytes(int) - 接口 中的方法org.tensorflow.framework.CallableOptionsOrBuilder
-
Fetches.
- getFetchBytes(int) - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
-
Fetches.
- getFetchBytes(int) - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
-
Fetches.
- getFetchBytes(int) - 接口 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequestOrBuilder
-
Fetches.
- getFetchCount() - 类 中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
Fetches.
- getFetchCount() - 类 中的方法org.tensorflow.distruntime.PartialRunSetupRequest
-
Fetches.
- getFetchCount() - 接口 中的方法org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder
-
Fetches.
- getFetchCount() - 类 中的方法org.tensorflow.distruntime.RunCallableResponse.Builder
-
Values of the tensors returned by the callable, in the order defined in the
CallableOptions.fetch field passed to MakeCallable.
- getFetchCount() - 类 中的方法org.tensorflow.distruntime.RunCallableResponse
-
Values of the tensors returned by the callable, in the order defined in the
CallableOptions.fetch field passed to MakeCallable.
- getFetchCount() - 接口 中的方法org.tensorflow.distruntime.RunCallableResponseOrBuilder
-
Values of the tensors returned by the callable, in the order defined in the
CallableOptions.fetch field passed to MakeCallable.
- getFetchCount() - 类 中的方法org.tensorflow.distruntime.RunStepRequest.Builder
-
Fetches.
- getFetchCount() - 类 中的方法org.tensorflow.distruntime.RunStepRequest
-
Fetches.
- getFetchCount() - 接口 中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder
-
Fetches.
- getFetchCount() - 类 中的方法org.tensorflow.framework.CallableOptions.Builder
-
Fetches.
- getFetchCount() - 类 中的方法org.tensorflow.framework.CallableOptions
-
Fetches.
- getFetchCount() - 接口 中的方法org.tensorflow.framework.CallableOptionsOrBuilder
-
Fetches.
- getFetchCount() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
-
Fetches.
- getFetchCount() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
-
Fetches.
- getFetchCount() - 接口 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequestOrBuilder
-
Fetches.
- getFetchDevices() - 类 中的方法org.tensorflow.framework.CallableOptions.Builder
-
已过时。
- getFetchDevices() - 类 中的方法org.tensorflow.framework.CallableOptions
-
已过时。
- getFetchDevices() - 接口 中的方法org.tensorflow.framework.CallableOptionsOrBuilder
-
已过时。
- getFetchDevicesCount() - 类 中的方法org.tensorflow.framework.CallableOptions.Builder
-
- getFetchDevicesCount() - 类 中的方法org.tensorflow.framework.CallableOptions
-
- getFetchDevicesCount() - 接口 中的方法org.tensorflow.framework.CallableOptionsOrBuilder
-
map<string, string> fetch_devices = 7;
- getFetchDevicesMap() - 类 中的方法org.tensorflow.framework.CallableOptions.Builder
-
map<string, string> fetch_devices = 7;
- getFetchDevicesMap() - 类 中的方法org.tensorflow.framework.CallableOptions
-
map<string, string> fetch_devices = 7;
- getFetchDevicesMap() - 接口 中的方法org.tensorflow.framework.CallableOptionsOrBuilder
-
map<string, string> fetch_devices = 7;
- getFetchDevicesOrDefault(String, String) - 类 中的方法org.tensorflow.framework.CallableOptions.Builder
-
map<string, string> fetch_devices = 7;
- getFetchDevicesOrDefault(String, String) - 类 中的方法org.tensorflow.framework.CallableOptions
-
map<string, string> fetch_devices = 7;
- getFetchDevicesOrDefault(String, String) - 接口 中的方法org.tensorflow.framework.CallableOptionsOrBuilder
-
map<string, string> fetch_devices = 7;
- getFetchDevicesOrThrow(String) - 类 中的方法org.tensorflow.framework.CallableOptions.Builder
-
map<string, string> fetch_devices = 7;
- getFetchDevicesOrThrow(String) - 类 中的方法org.tensorflow.framework.CallableOptions
-
map<string, string> fetch_devices = 7;
- getFetchDevicesOrThrow(String) - 接口 中的方法org.tensorflow.framework.CallableOptionsOrBuilder
-
map<string, string> fetch_devices = 7;
- getFetchList() - 类 中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
Fetches.
- getFetchList() - 类 中的方法org.tensorflow.distruntime.PartialRunSetupRequest
-
Fetches.
- getFetchList() - 接口 中的方法org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder
-
Fetches.
- getFetchList() - 类 中的方法org.tensorflow.distruntime.RunCallableResponse.Builder
-
Values of the tensors returned by the callable, in the order defined in the
CallableOptions.fetch field passed to MakeCallable.
- getFetchList() - 类 中的方法org.tensorflow.distruntime.RunCallableResponse
-
Values of the tensors returned by the callable, in the order defined in the
CallableOptions.fetch field passed to MakeCallable.
- getFetchList() - 接口 中的方法org.tensorflow.distruntime.RunCallableResponseOrBuilder
-
Values of the tensors returned by the callable, in the order defined in the
CallableOptions.fetch field passed to MakeCallable.
- getFetchList() - 类 中的方法org.tensorflow.distruntime.RunStepRequest.Builder
-
Fetches.
- getFetchList() - 类 中的方法org.tensorflow.distruntime.RunStepRequest
-
Fetches.
- getFetchList() - 接口 中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder
-
Fetches.
- getFetchList() - 类 中的方法org.tensorflow.framework.CallableOptions.Builder
-
Fetches.
- getFetchList() - 类 中的方法org.tensorflow.framework.CallableOptions
-
Fetches.
- getFetchList() - 接口 中的方法org.tensorflow.framework.CallableOptionsOrBuilder
-
Fetches.
- getFetchList() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
-
Fetches.
- getFetchList() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
-
Fetches.
- getFetchList() - 接口 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequestOrBuilder
-
Fetches.
- getFetchOrBuilder(int) - 类 中的方法org.tensorflow.distruntime.RunCallableResponse.Builder
-
Values of the tensors returned by the callable, in the order defined in the
CallableOptions.fetch field passed to MakeCallable.
- getFetchOrBuilder(int) - 类 中的方法org.tensorflow.distruntime.RunCallableResponse
-
Values of the tensors returned by the callable, in the order defined in the
CallableOptions.fetch field passed to MakeCallable.
- getFetchOrBuilder(int) - 接口 中的方法org.tensorflow.distruntime.RunCallableResponseOrBuilder
-
Values of the tensors returned by the callable, in the order defined in the
CallableOptions.fetch field passed to MakeCallable.
- getFetchOrBuilderList() - 类 中的方法org.tensorflow.distruntime.RunCallableResponse.Builder
-
Values of the tensors returned by the callable, in the order defined in the
CallableOptions.fetch field passed to MakeCallable.
- getFetchOrBuilderList() - 类 中的方法org.tensorflow.distruntime.RunCallableResponse
-
Values of the tensors returned by the callable, in the order defined in the
CallableOptions.fetch field passed to MakeCallable.
- getFetchOrBuilderList() - 接口 中的方法org.tensorflow.distruntime.RunCallableResponseOrBuilder
-
Values of the tensors returned by the callable, in the order defined in the
CallableOptions.fetch field passed to MakeCallable.
- getFetchSkipSync() - 类 中的方法org.tensorflow.framework.CallableOptions.Builder
-
By default, RunCallable() will synchronize the GPU stream before returning
fetched tensors on a GPU device, to ensure that the values in those tensors
have been produced.
- getFetchSkipSync() - 类 中的方法org.tensorflow.framework.CallableOptions
-
By default, RunCallable() will synchronize the GPU stream before returning
fetched tensors on a GPU device, to ensure that the values in those tensors
have been produced.
- getFetchSkipSync() - 接口 中的方法org.tensorflow.framework.CallableOptionsOrBuilder
-
By default, RunCallable() will synchronize the GPU stream before returning
fetched tensors on a GPU device, to ensure that the values in those tensors
have been produced.
- getFetchStepId(int) - 类 中的方法org.tensorflow.distruntime.LoggingRequest.Builder
-
When set, requests all saved log data pertaining to the step.
- getFetchStepId(int) - 类 中的方法org.tensorflow.distruntime.LoggingRequest
-
When set, requests all saved log data pertaining to the step.
- getFetchStepId(int) - 接口 中的方法org.tensorflow.distruntime.LoggingRequestOrBuilder
-
When set, requests all saved log data pertaining to the step.
- getFetchStepIdCount() - 类 中的方法org.tensorflow.distruntime.LoggingRequest.Builder
-
When set, requests all saved log data pertaining to the step.
- getFetchStepIdCount() - 类 中的方法org.tensorflow.distruntime.LoggingRequest
-
When set, requests all saved log data pertaining to the step.
- getFetchStepIdCount() - 接口 中的方法org.tensorflow.distruntime.LoggingRequestOrBuilder
-
When set, requests all saved log data pertaining to the step.
- getFetchStepIdList() - 类 中的方法org.tensorflow.distruntime.LoggingRequest.Builder
-
When set, requests all saved log data pertaining to the step.
- getFetchStepIdList() - 类 中的方法org.tensorflow.distruntime.LoggingRequest
-
When set, requests all saved log data pertaining to the step.
- getFetchStepIdList() - 接口 中的方法org.tensorflow.distruntime.LoggingRequestOrBuilder
-
When set, requests all saved log data pertaining to the step.
- getFilename() - 类 中的方法org.tensorflow.framework.AssetFileDef.Builder
-
The filename within an assets directory.
- getFilename() - 类 中的方法org.tensorflow.framework.AssetFileDef
-
The filename within an assets directory.
- getFilename() - 接口 中的方法org.tensorflow.framework.AssetFileDefOrBuilder
-
The filename within an assets directory.
- getFilenameBytes() - 类 中的方法org.tensorflow.framework.AssetFileDef.Builder
-
The filename within an assets directory.
- getFilenameBytes() - 类 中的方法org.tensorflow.framework.AssetFileDef
-
The filename within an assets directory.
- getFilenameBytes() - 接口 中的方法org.tensorflow.framework.AssetFileDefOrBuilder
-
The filename within an assets directory.
- getFilenamePrefix() - 类 中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig.Builder
-
The prefix to use for the filenames of the logs.
- getFilenamePrefix() - 类 中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
-
The prefix to use for the filenames of the logs.
- getFilenamePrefix() - 接口 中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfigOrBuilder
-
The prefix to use for the filenames of the logs.
- getFilenamePrefixBytes() - 类 中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig.Builder
-
The prefix to use for the filenames of the logs.
- getFilenamePrefixBytes() - 类 中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
-
The prefix to use for the filenames of the logs.
- getFilenamePrefixBytes() - 接口 中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfigOrBuilder
-
The prefix to use for the filenames of the logs.
- getFilenameTensorName() - 类 中的方法org.tensorflow.util.SaverDef.Builder
-
The name of the tensor in which to specify the filename when saving or
restoring a model checkpoint.
- getFilenameTensorName() - 类 中的方法org.tensorflow.util.SaverDef
-
The name of the tensor in which to specify the filename when saving or
restoring a model checkpoint.
- getFilenameTensorName() - 接口 中的方法org.tensorflow.util.SaverDefOrBuilder
-
The name of the tensor in which to specify the filename when saving or
restoring a model checkpoint.
- getFilenameTensorNameBytes() - 类 中的方法org.tensorflow.util.SaverDef.Builder
-
The name of the tensor in which to specify the filename when saving or
restoring a model checkpoint.
- getFilenameTensorNameBytes() - 类 中的方法org.tensorflow.util.SaverDef
-
The name of the tensor in which to specify the filename when saving or
restoring a model checkpoint.
- getFilenameTensorNameBytes() - 接口 中的方法org.tensorflow.util.SaverDefOrBuilder
-
The name of the tensor in which to specify the filename when saving or
restoring a model checkpoint.
- getFilePath() - 类 中的方法org.tensorflow.framework.DebuggedSourceFile.Builder
-
Path to the source code file.
- getFilePath() - 类 中的方法org.tensorflow.framework.DebuggedSourceFile
-
Path to the source code file.
- getFilePath() - 接口 中的方法org.tensorflow.framework.DebuggedSourceFileOrBuilder
-
Path to the source code file.
- getFilePathBytes() - 类 中的方法org.tensorflow.framework.DebuggedSourceFile.Builder
-
Path to the source code file.
- getFilePathBytes() - 类 中的方法org.tensorflow.framework.DebuggedSourceFile
-
Path to the source code file.
- getFilePathBytes() - 接口 中的方法org.tensorflow.framework.DebuggedSourceFileOrBuilder
-
Path to the source code file.
- getFileSystemPollWaitSeconds() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder
-
How long to wait between file-system polling to look for children of
'base_path', in seconds.
- getFileSystemPollWaitSeconds() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
-
How long to wait between file-system polling to look for children of
'base_path', in seconds.
- getFileSystemPollWaitSeconds() - 接口 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfigOrBuilder
-
How long to wait between file-system polling to look for children of
'base_path', in seconds.
- getFixedLenFeature() - 类 中的方法org.tensorflow.example.FeatureConfiguration.Builder
-
.tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
- getFixedLenFeature() - 类 中的方法org.tensorflow.example.FeatureConfiguration
-
.tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
- getFixedLenFeature() - 接口 中的方法org.tensorflow.example.FeatureConfigurationOrBuilder
-
.tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
- getFixedLenFeatureBuilder() - 类 中的方法org.tensorflow.example.FeatureConfiguration.Builder
-
.tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
- getFixedLenFeatureOrBuilder() - 类 中的方法org.tensorflow.example.FeatureConfiguration.Builder
-
.tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
- getFixedLenFeatureOrBuilder() - 类 中的方法org.tensorflow.example.FeatureConfiguration
-
.tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
- getFixedLenFeatureOrBuilder() - 接口 中的方法org.tensorflow.example.FeatureConfigurationOrBuilder
-
.tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
- getFList() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(float)"
repeated float f = 4 [packed = true];
- getFList() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue
-
"list(float)"
repeated float f = 4 [packed = true];
- getFList() - 接口 中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(float)"
repeated float f = 4 [packed = true];
- getFloatList() - 类 中的方法org.tensorflow.example.Feature.Builder
-
.tensorflow.FloatList float_list = 2;
- getFloatList() - 类 中的方法org.tensorflow.example.Feature
-
.tensorflow.FloatList float_list = 2;
- getFloatList() - 接口 中的方法org.tensorflow.example.FeatureOrBuilder
-
.tensorflow.FloatList float_list = 2;
- getFloatList() - 类 中的方法org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.FloatList float_list = 4;
- getFloatList() - 类 中的方法org.tensorflow.framework.CollectionDef
-
.tensorflow.CollectionDef.FloatList float_list = 4;
- getFloatList() - 接口 中的方法org.tensorflow.framework.CollectionDefOrBuilder
-
.tensorflow.CollectionDef.FloatList float_list = 4;
- getFloatListBuilder() - 类 中的方法org.tensorflow.example.Feature.Builder
-
.tensorflow.FloatList float_list = 2;
- getFloatListBuilder() - 类 中的方法org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.FloatList float_list = 4;
- getFloatListOrBuilder() - 类 中的方法org.tensorflow.example.Feature.Builder
-
.tensorflow.FloatList float_list = 2;
- getFloatListOrBuilder() - 类 中的方法org.tensorflow.example.Feature
-
.tensorflow.FloatList float_list = 2;
- getFloatListOrBuilder() - 接口 中的方法org.tensorflow.example.FeatureOrBuilder
-
.tensorflow.FloatList float_list = 2;
- getFloatListOrBuilder() - 类 中的方法org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.FloatList float_list = 4;
- getFloatListOrBuilder() - 类 中的方法org.tensorflow.framework.CollectionDef
-
.tensorflow.CollectionDef.FloatList float_list = 4;
- getFloatListOrBuilder() - 接口 中的方法org.tensorflow.framework.CollectionDefOrBuilder
-
.tensorflow.CollectionDef.FloatList float_list = 4;
- getFloatVal(int) - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_FLOAT.
- getFloatVal(int) - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_FLOAT.
- getFloatVal(int) - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_FLOAT.
- getFloatValCount() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_FLOAT.
- getFloatValCount() - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_FLOAT.
- getFloatValCount() - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_FLOAT.
- getFloatValList() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_FLOAT.
- getFloatValList() - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_FLOAT.
- getFloatValList() - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_FLOAT.
- getForceGpuCompatible() - 类 中的方法org.tensorflow.framework.GPUOptions.Builder
-
Force all tensors to be gpu_compatible.
- getForceGpuCompatible() - 类 中的方法org.tensorflow.framework.GPUOptions
-
Force all tensors to be gpu_compatible.
- getForceGpuCompatible() - 接口 中的方法org.tensorflow.framework.GPUOptionsOrBuilder
-
Force all tensors to be gpu_compatible.
- getFrequency() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Core Frequency in Mhz
int64 frequency = 4;
- getFrequency() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties
-
Core Frequency in Mhz
int64 frequency = 4;
- getFrequency() - 接口 中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
Core Frequency in Mhz
int64 frequency = 4;
- getFromTensor() - 类 中的方法org.tensorflow.framework.TensorConnection.Builder
-
A tensor name.
- getFromTensor() - 类 中的方法org.tensorflow.framework.TensorConnection
-
A tensor name.
- getFromTensor() - 接口 中的方法org.tensorflow.framework.TensorConnectionOrBuilder
-
A tensor name.
- getFromTensorBytes() - 类 中的方法org.tensorflow.framework.TensorConnection.Builder
-
A tensor name.
- getFromTensorBytes() - 类 中的方法org.tensorflow.framework.TensorConnection
-
A tensor name.
- getFromTensorBytes() - 接口 中的方法org.tensorflow.framework.TensorConnectionOrBuilder
-
A tensor name.
- getFullName() - 类 中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Name of the full variable of which this is a slice.
- getFullName() - 类 中的方法org.tensorflow.framework.SaveSliceInfoDef
-
Name of the full variable of which this is a slice.
- getFullName() - 接口 中的方法org.tensorflow.framework.SaveSliceInfoDefOrBuilder
-
Name of the full variable of which this is a slice.
- getFullName() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
-
The full name of the variable/tensor, if applicable.
- getFullName() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
-
The full name of the variable/tensor, if applicable.
- getFullName() - 接口 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensorOrBuilder
-
The full name of the variable/tensor, if applicable.
- getFullNameBytes() - 类 中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Name of the full variable of which this is a slice.
- getFullNameBytes() - 类 中的方法org.tensorflow.framework.SaveSliceInfoDef
-
Name of the full variable of which this is a slice.
- getFullNameBytes() - 接口 中的方法org.tensorflow.framework.SaveSliceInfoDefOrBuilder
-
Name of the full variable of which this is a slice.
- getFullNameBytes() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
-
The full name of the variable/tensor, if applicable.
- getFullNameBytes() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
-
The full name of the variable/tensor, if applicable.
- getFullNameBytes() - 接口 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensorOrBuilder
-
The full name of the variable/tensor, if applicable.
- getFullShape(int) - 类 中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Shape of the full variable.
- getFullShape(int) - 类 中的方法org.tensorflow.framework.SaveSliceInfoDef
-
Shape of the full variable.
- getFullShape(int) - 接口 中的方法org.tensorflow.framework.SaveSliceInfoDefOrBuilder
-
Shape of the full variable.
- getFullShapeCount() - 类 中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Shape of the full variable.
- getFullShapeCount() - 类 中的方法org.tensorflow.framework.SaveSliceInfoDef
-
Shape of the full variable.
- getFullShapeCount() - 接口 中的方法org.tensorflow.framework.SaveSliceInfoDefOrBuilder
-
Shape of the full variable.
- getFullShapeList() - 类 中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Shape of the full variable.
- getFullShapeList() - 类 中的方法org.tensorflow.framework.SaveSliceInfoDef
-
Shape of the full variable.
- getFullShapeList() - 接口 中的方法org.tensorflow.framework.SaveSliceInfoDefOrBuilder
-
Shape of the full variable.
- getFunc() - 类 中的方法org.tensorflow.framework.AttrValue.Builder
-
"func" represents a function. func.name is a function's name or
a primitive op's name. func.attr.first is the name of an attr
defined for that function. func.attr.second is the value for
that attr in the instantiation.
- getFunc() - 类 中的方法org.tensorflow.framework.AttrValue
-
"func" represents a function. func.name is a function's name or
a primitive op's name. func.attr.first is the name of an attr
defined for that function. func.attr.second is the value for
that attr in the instantiation.
- getFunc(int) - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(attr)"
repeated .tensorflow.NameAttrList func = 9;
- getFunc(int) - 类 中的方法org.tensorflow.framework.AttrValue.ListValue
-
"list(attr)"
repeated .tensorflow.NameAttrList func = 9;
- getFunc(int) - 接口 中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(attr)"
repeated .tensorflow.NameAttrList func = 9;
- getFunc() - 接口 中的方法org.tensorflow.framework.AttrValueOrBuilder
-
"func" represents a function. func.name is a function's name or
a primitive op's name. func.attr.first is the name of an attr
defined for that function. func.attr.second is the value for
that attr in the instantiation.
- getFuncBuilder() - 类 中的方法org.tensorflow.framework.AttrValue.Builder
-
"func" represents a function. func.name is a function's name or
a primitive op's name. func.attr.first is the name of an attr
defined for that function. func.attr.second is the value for
that attr in the instantiation.
- getFuncBuilder(int) - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(attr)"
repeated .tensorflow.NameAttrList func = 9;
- getFuncBuilderList() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(attr)"
repeated .tensorflow.NameAttrList func = 9;
- getFuncCount() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(attr)"
repeated .tensorflow.NameAttrList func = 9;
- getFuncCount() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue
-
"list(attr)"
repeated .tensorflow.NameAttrList func = 9;
- getFuncCount() - 接口 中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(attr)"
repeated .tensorflow.NameAttrList func = 9;
- getFuncList() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(attr)"
repeated .tensorflow.NameAttrList func = 9;
- getFuncList() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue
-
"list(attr)"
repeated .tensorflow.NameAttrList func = 9;
- getFuncList() - 接口 中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(attr)"
repeated .tensorflow.NameAttrList func = 9;
- getFuncOrBuilder() - 类 中的方法org.tensorflow.framework.AttrValue.Builder
-
"func" represents a function. func.name is a function's name or
a primitive op's name. func.attr.first is the name of an attr
defined for that function. func.attr.second is the value for
that attr in the instantiation.
- getFuncOrBuilder() - 类 中的方法org.tensorflow.framework.AttrValue
-
"func" represents a function. func.name is a function's name or
a primitive op's name. func.attr.first is the name of an attr
defined for that function. func.attr.second is the value for
that attr in the instantiation.
- getFuncOrBuilder(int) - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(attr)"
repeated .tensorflow.NameAttrList func = 9;
- getFuncOrBuilder(int) - 类 中的方法org.tensorflow.framework.AttrValue.ListValue
-
"list(attr)"
repeated .tensorflow.NameAttrList func = 9;
- getFuncOrBuilder(int) - 接口 中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(attr)"
repeated .tensorflow.NameAttrList func = 9;
- getFuncOrBuilder() - 接口 中的方法org.tensorflow.framework.AttrValueOrBuilder
-
"func" represents a function. func.name is a function's name or
a primitive op's name. func.attr.first is the name of an attr
defined for that function. func.attr.second is the value for
that attr in the instantiation.
- getFuncOrBuilderList() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(attr)"
repeated .tensorflow.NameAttrList func = 9;
- getFuncOrBuilderList() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue
-
"list(attr)"
repeated .tensorflow.NameAttrList func = 9;
- getFuncOrBuilderList() - 接口 中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(attr)"
repeated .tensorflow.NameAttrList func = 9;
- getFunction(int) - 类 中的方法org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.FunctionDef function = 1;
- getFunction(int) - 类 中的方法org.tensorflow.framework.FunctionDefLibrary
-
repeated .tensorflow.FunctionDef function = 1;
- getFunction(int) - 接口 中的方法org.tensorflow.framework.FunctionDefLibraryOrBuilder
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionBuilder(int) - 类 中的方法org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionBuilderList() - 类 中的方法org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionCount() - 类 中的方法org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionCount() - 类 中的方法org.tensorflow.framework.FunctionDefLibrary
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionCount() - 接口 中的方法org.tensorflow.framework.FunctionDefLibraryOrBuilder
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionDef() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
-
.tensorflow.FunctionDef function_def = 2;
- getFunctionDef() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
-
.tensorflow.FunctionDef function_def = 2;
- getFunctionDef() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequestOrBuilder
-
.tensorflow.FunctionDef function_def = 2;
- getFunctionDefBuilder() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
-
.tensorflow.FunctionDef function_def = 2;
- getFunctionDefOrBuilder() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
-
.tensorflow.FunctionDef function_def = 2;
- getFunctionDefOrBuilder() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
-
.tensorflow.FunctionDef function_def = 2;
- getFunctionDefOrBuilder() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequestOrBuilder
-
.tensorflow.FunctionDef function_def = 2;
- getFunctionList() - 类 中的方法org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionList() - 类 中的方法org.tensorflow.framework.FunctionDefLibrary
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionList() - 接口 中的方法org.tensorflow.framework.FunctionDefLibraryOrBuilder
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionName() - 类 中的方法org.tensorflow.framework.GradientDef.Builder
-
The function name.
- getFunctionName() - 类 中的方法org.tensorflow.framework.GradientDef
-
The function name.
- getFunctionName() - 接口 中的方法org.tensorflow.framework.GradientDefOrBuilder
-
The function name.
- getFunctionNameBytes() - 类 中的方法org.tensorflow.framework.GradientDef.Builder
-
The function name.
- getFunctionNameBytes() - 类 中的方法org.tensorflow.framework.GradientDef
-
The function name.
- getFunctionNameBytes() - 接口 中的方法org.tensorflow.framework.GradientDefOrBuilder
-
The function name.
- getFunctionOptimization() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
Function optimizations (default is ON).
- getFunctionOptimization() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
Function optimizations (default is ON).
- getFunctionOptimization() - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
Function optimizations (default is ON).
- getFunctionOptimizationValue() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
Function optimizations (default is ON).
- getFunctionOptimizationValue() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
Function optimizations (default is ON).
- getFunctionOptimizationValue() - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
Function optimizations (default is ON).
- getFunctionOrBuilder(int) - 类 中的方法org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionOrBuilder(int) - 类 中的方法org.tensorflow.framework.FunctionDefLibrary
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionOrBuilder(int) - 接口 中的方法org.tensorflow.framework.FunctionDefLibraryOrBuilder
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionOrBuilderList() - 类 中的方法org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionOrBuilderList() - 类 中的方法org.tensorflow.framework.FunctionDefLibrary
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionOrBuilderList() - 接口 中的方法org.tensorflow.framework.FunctionDefLibraryOrBuilder
-
repeated .tensorflow.FunctionDef function = 1;
- getGetModelMetadataMethod() - 类 中的静态方法tensorflow.serving.PredictionServiceGrpc
-
- getGetModelStatusMethod() - 类 中的静态方法tensorflow.serving.ModelServiceGrpc
-
- getGetStatusMethod() - 类 中的静态方法org.tensorflow.distruntime.WorkerServiceGrpc
-
- getGetStepSequenceMethod() - 类 中的静态方法org.tensorflow.distruntime.WorkerServiceGrpc
-
- getGlobalJitLevel() - 类 中的方法org.tensorflow.framework.OptimizerOptions.Builder
-
.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
- getGlobalJitLevel() - 类 中的方法org.tensorflow.framework.OptimizerOptions
-
.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
- getGlobalJitLevel() - 接口 中的方法org.tensorflow.framework.OptimizerOptionsOrBuilder
-
.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
- getGlobalJitLevelValue() - 类 中的方法org.tensorflow.framework.OptimizerOptions.Builder
-
.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
- getGlobalJitLevelValue() - 类 中的方法org.tensorflow.framework.OptimizerOptions
-
.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
- getGlobalJitLevelValue() - 接口 中的方法org.tensorflow.framework.OptimizerOptionsOrBuilder
-
.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
- getGlobalName() - 类 中的方法org.tensorflow.framework.ThreadPoolOptionProto.Builder
-
The global name of the threadpool.
- getGlobalName() - 类 中的方法org.tensorflow.framework.ThreadPoolOptionProto
-
The global name of the threadpool.
- getGlobalName() - 接口 中的方法org.tensorflow.framework.ThreadPoolOptionProtoOrBuilder
-
The global name of the threadpool.
- getGlobalNameBytes() - 类 中的方法org.tensorflow.framework.ThreadPoolOptionProto.Builder
-
The global name of the threadpool.
- getGlobalNameBytes() - 类 中的方法org.tensorflow.framework.ThreadPoolOptionProto
-
The global name of the threadpool.
- getGlobalNameBytes() - 接口 中的方法org.tensorflow.framework.ThreadPoolOptionProtoOrBuilder
-
The global name of the threadpool.
- getGlobalStep() - 类 中的方法org.tensorflow.framework.DebugOptions.Builder
-
Caller-specified global step count.
- getGlobalStep() - 类 中的方法org.tensorflow.framework.DebugOptions
-
Caller-specified global step count.
- getGlobalStep() - 接口 中的方法org.tensorflow.framework.DebugOptionsOrBuilder
-
Caller-specified global step count.
- getGpuOptions() - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
Options that apply to all GPUs.
- getGpuOptions() - 类 中的方法org.tensorflow.framework.ConfigProto
-
Options that apply to all GPUs.
- getGpuOptions() - 接口 中的方法org.tensorflow.framework.ConfigProtoOrBuilder
-
Options that apply to all GPUs.
- getGpuOptionsBuilder() - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
Options that apply to all GPUs.
- getGpuOptionsOrBuilder() - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
Options that apply to all GPUs.
- getGpuOptionsOrBuilder() - 类 中的方法org.tensorflow.framework.ConfigProto
-
Options that apply to all GPUs.
- getGpuOptionsOrBuilder() - 接口 中的方法org.tensorflow.framework.ConfigProtoOrBuilder
-
Options that apply to all GPUs.
- getGradient(int) - 类 中的方法org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradient(int) - 类 中的方法org.tensorflow.framework.FunctionDefLibrary
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradient(int) - 接口 中的方法org.tensorflow.framework.FunctionDefLibraryOrBuilder
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientBuilder(int) - 类 中的方法org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientBuilderList() - 类 中的方法org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientCount() - 类 中的方法org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientCount() - 类 中的方法org.tensorflow.framework.FunctionDefLibrary
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientCount() - 接口 中的方法org.tensorflow.framework.FunctionDefLibraryOrBuilder
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientFunc() - 类 中的方法org.tensorflow.framework.GradientDef.Builder
-
The gradient function's name.
- getGradientFunc() - 类 中的方法org.tensorflow.framework.GradientDef
-
The gradient function's name.
- getGradientFunc() - 接口 中的方法org.tensorflow.framework.GradientDefOrBuilder
-
The gradient function's name.
- getGradientFuncBytes() - 类 中的方法org.tensorflow.framework.GradientDef.Builder
-
The gradient function's name.
- getGradientFuncBytes() - 类 中的方法org.tensorflow.framework.GradientDef
-
The gradient function's name.
- getGradientFuncBytes() - 接口 中的方法org.tensorflow.framework.GradientDefOrBuilder
-
The gradient function's name.
- getGradientList() - 类 中的方法org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientList() - 类 中的方法org.tensorflow.framework.FunctionDefLibrary
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientList() - 接口 中的方法org.tensorflow.framework.FunctionDefLibraryOrBuilder
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientOrBuilder(int) - 类 中的方法org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientOrBuilder(int) - 类 中的方法org.tensorflow.framework.FunctionDefLibrary
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientOrBuilder(int) - 接口 中的方法org.tensorflow.framework.FunctionDefLibraryOrBuilder
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientOrBuilderList() - 类 中的方法org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientOrBuilderList() - 类 中的方法org.tensorflow.framework.FunctionDefLibrary
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientOrBuilderList() - 接口 中的方法org.tensorflow.framework.FunctionDefLibraryOrBuilder
-
repeated .tensorflow.GradientDef gradient = 2;
- getGraphDef() - 类 中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder
-
The initial graph definition.
- getGraphDef() - 类 中的方法org.tensorflow.distruntime.CreateSessionRequest
-
The initial graph definition.
- getGraphDef() - 接口 中的方法org.tensorflow.distruntime.CreateSessionRequestOrBuilder
-
The initial graph definition.
- getGraphDef() - 类 中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder
-
REQUIRED: The nodes to be added to the session's graph.
- getGraphDef() - 类 中的方法org.tensorflow.distruntime.ExtendSessionRequest
-
REQUIRED: The nodes to be added to the session's graph.
- getGraphDef() - 接口 中的方法org.tensorflow.distruntime.ExtendSessionRequestOrBuilder
-
REQUIRED: The nodes to be added to the session's graph.
- getGraphDef() - 类 中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
"graph_def" has the subgraph of nodes for this worker, with each node
having its device_name filled in.
- getGraphDef() - 类 中的方法org.tensorflow.distruntime.RegisterGraphRequest
-
"graph_def" has the subgraph of nodes for this worker, with each node
having its device_name filled in.
- getGraphDef() - 接口 中的方法org.tensorflow.distruntime.RegisterGraphRequestOrBuilder
-
"graph_def" has the subgraph of nodes for this worker, with each node
having its device_name filled in.
- getGraphDef() - 类 中的方法org.tensorflow.framework.MetaGraphDef.Builder
-
GraphDef.
- getGraphDef() - 类 中的方法org.tensorflow.framework.MetaGraphDef
-
GraphDef.
- getGraphDef() - 接口 中的方法org.tensorflow.framework.MetaGraphDefOrBuilder
-
GraphDef.
- getGraphDefBuilder() - 类 中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder
-
The initial graph definition.
- getGraphDefBuilder() - 类 中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder
-
REQUIRED: The nodes to be added to the session's graph.
- getGraphDefBuilder() - 类 中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
"graph_def" has the subgraph of nodes for this worker, with each node
having its device_name filled in.
- getGraphDefBuilder() - 类 中的方法org.tensorflow.framework.MetaGraphDef.Builder
-
GraphDef.
- getGraphDefOrBuilder() - 类 中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder
-
The initial graph definition.
- getGraphDefOrBuilder() - 类 中的方法org.tensorflow.distruntime.CreateSessionRequest
-
The initial graph definition.
- getGraphDefOrBuilder() - 接口 中的方法org.tensorflow.distruntime.CreateSessionRequestOrBuilder
-
The initial graph definition.
- getGraphDefOrBuilder() - 类 中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder
-
REQUIRED: The nodes to be added to the session's graph.
- getGraphDefOrBuilder() - 类 中的方法org.tensorflow.distruntime.ExtendSessionRequest
-
REQUIRED: The nodes to be added to the session's graph.
- getGraphDefOrBuilder() - 接口 中的方法org.tensorflow.distruntime.ExtendSessionRequestOrBuilder
-
REQUIRED: The nodes to be added to the session's graph.
- getGraphDefOrBuilder() - 类 中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
"graph_def" has the subgraph of nodes for this worker, with each node
having its device_name filled in.
- getGraphDefOrBuilder() - 类 中的方法org.tensorflow.distruntime.RegisterGraphRequest
-
"graph_def" has the subgraph of nodes for this worker, with each node
having its device_name filled in.
- getGraphDefOrBuilder() - 接口 中的方法org.tensorflow.distruntime.RegisterGraphRequestOrBuilder
-
"graph_def" has the subgraph of nodes for this worker, with each node
having its device_name filled in.
- getGraphDefOrBuilder() - 类 中的方法org.tensorflow.framework.MetaGraphDef.Builder
-
GraphDef.
- getGraphDefOrBuilder() - 类 中的方法org.tensorflow.framework.MetaGraphDef
-
GraphDef.
- getGraphDefOrBuilder() - 接口 中的方法org.tensorflow.framework.MetaGraphDefOrBuilder
-
GraphDef.
- getGraphHandle() - 类 中的方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder
-
REQUIRED: graph_handle must be returned by a RegisterGraph call
to the same WorkerService.
- getGraphHandle() - 类 中的方法org.tensorflow.distruntime.DeregisterGraphRequest
-
REQUIRED: graph_handle must be returned by a RegisterGraph call
to the same WorkerService.
- getGraphHandle() - 接口 中的方法org.tensorflow.distruntime.DeregisterGraphRequestOrBuilder
-
REQUIRED: graph_handle must be returned by a RegisterGraph call
to the same WorkerService.
- getGraphHandle() - 类 中的方法org.tensorflow.distruntime.RegisterGraphResponse.Builder
-
If the registration succeeds, returns an opaque graph_handle to
the master.
- getGraphHandle() - 类 中的方法org.tensorflow.distruntime.RegisterGraphResponse
-
If the registration succeeds, returns an opaque graph_handle to
the master.
- getGraphHandle() - 接口 中的方法org.tensorflow.distruntime.RegisterGraphResponseOrBuilder
-
If the registration succeeds, returns an opaque graph_handle to
the master.
- getGraphHandle() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
-
REQUIRED: graph_handle must be returned by a RegisterGraph call
to the same WorkerService.
- getGraphHandle() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest
-
REQUIRED: graph_handle must be returned by a RegisterGraph call
to the same WorkerService.
- getGraphHandle() - 接口 中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
REQUIRED: graph_handle must be returned by a RegisterGraph call
to the same WorkerService.
- getGraphHandleBytes() - 类 中的方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder
-
REQUIRED: graph_handle must be returned by a RegisterGraph call
to the same WorkerService.
- getGraphHandleBytes() - 类 中的方法org.tensorflow.distruntime.DeregisterGraphRequest
-
REQUIRED: graph_handle must be returned by a RegisterGraph call
to the same WorkerService.
- getGraphHandleBytes() - 接口 中的方法org.tensorflow.distruntime.DeregisterGraphRequestOrBuilder
-
REQUIRED: graph_handle must be returned by a RegisterGraph call
to the same WorkerService.
- getGraphHandleBytes() - 类 中的方法org.tensorflow.distruntime.RegisterGraphResponse.Builder
-
If the registration succeeds, returns an opaque graph_handle to
the master.
- getGraphHandleBytes() - 类 中的方法org.tensorflow.distruntime.RegisterGraphResponse
-
If the registration succeeds, returns an opaque graph_handle to
the master.
- getGraphHandleBytes() - 接口 中的方法org.tensorflow.distruntime.RegisterGraphResponseOrBuilder
-
If the registration succeeds, returns an opaque graph_handle to
the master.
- getGraphHandleBytes() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
-
REQUIRED: graph_handle must be returned by a RegisterGraph call
to the same WorkerService.
- getGraphHandleBytes() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest
-
REQUIRED: graph_handle must be returned by a RegisterGraph call
to the same WorkerService.
- getGraphHandleBytes() - 接口 中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
REQUIRED: graph_handle must be returned by a RegisterGraph call
to the same WorkerService.
- getGraphInputNodeInfo(int) - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
Input Node parameters of transferred graph
repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
- getGraphInputNodeInfo(int) - 类 中的方法org.tensorflow.framework.GraphTransferInfo
-
Input Node parameters of transferred graph
repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
- getGraphInputNodeInfo(int) - 接口 中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder
-
Input Node parameters of transferred graph
repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
- getGraphInputNodeInfoBuilder(int) - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
Input Node parameters of transferred graph
repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
- getGraphInputNodeInfoBuilderList() - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
Input Node parameters of transferred graph
repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
- getGraphInputNodeInfoCount() - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
Input Node parameters of transferred graph
repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
- getGraphInputNodeInfoCount() - 类 中的方法org.tensorflow.framework.GraphTransferInfo
-
Input Node parameters of transferred graph
repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
- getGraphInputNodeInfoCount() - 接口 中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder
-
Input Node parameters of transferred graph
repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
- getGraphInputNodeInfoList() - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
Input Node parameters of transferred graph
repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
- getGraphInputNodeInfoList() - 类 中的方法org.tensorflow.framework.GraphTransferInfo
-
Input Node parameters of transferred graph
repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
- getGraphInputNodeInfoList() - 接口 中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder
-
Input Node parameters of transferred graph
repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
- getGraphInputNodeInfoOrBuilder(int) - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
Input Node parameters of transferred graph
repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
- getGraphInputNodeInfoOrBuilder(int) - 类 中的方法org.tensorflow.framework.GraphTransferInfo
-
Input Node parameters of transferred graph
repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
- getGraphInputNodeInfoOrBuilder(int) - 接口 中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder
-
Input Node parameters of transferred graph
repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
- getGraphInputNodeInfoOrBuilderList() - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
Input Node parameters of transferred graph
repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
- getGraphInputNodeInfoOrBuilderList() - 类 中的方法org.tensorflow.framework.GraphTransferInfo
-
Input Node parameters of transferred graph
repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
- getGraphInputNodeInfoOrBuilderList() - 接口 中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder
-
Input Node parameters of transferred graph
repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
- getGraphInputNodeName(int) - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Remote fused graph input node name
repeated string graph_input_node_name = 2;
- getGraphInputNodeName(int) - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Remote fused graph input node name
repeated string graph_input_node_name = 2;
- getGraphInputNodeName(int) - 接口 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Remote fused graph input node name
repeated string graph_input_node_name = 2;
- getGraphInputNodeNameBytes(int) - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Remote fused graph input node name
repeated string graph_input_node_name = 2;
- getGraphInputNodeNameBytes(int) - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Remote fused graph input node name
repeated string graph_input_node_name = 2;
- getGraphInputNodeNameBytes(int) - 接口 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Remote fused graph input node name
repeated string graph_input_node_name = 2;
- getGraphInputNodeNameCount() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Remote fused graph input node name
repeated string graph_input_node_name = 2;
- getGraphInputNodeNameCount() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Remote fused graph input node name
repeated string graph_input_node_name = 2;
- getGraphInputNodeNameCount() - 接口 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Remote fused graph input node name
repeated string graph_input_node_name = 2;
- getGraphInputNodeNameList() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Remote fused graph input node name
repeated string graph_input_node_name = 2;
- getGraphInputNodeNameList() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Remote fused graph input node name
repeated string graph_input_node_name = 2;
- getGraphInputNodeNameList() - 接口 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Remote fused graph input node name
repeated string graph_input_node_name = 2;
- getGraphKey(int) - 类 中的方法org.tensorflow.distruntime.GetStepSequenceRequest.Builder
-
repeated int64 graph_key = 1;
- getGraphKey(int) - 类 中的方法org.tensorflow.distruntime.GetStepSequenceRequest
-
repeated int64 graph_key = 1;
- getGraphKey(int) - 接口 中的方法org.tensorflow.distruntime.GetStepSequenceRequestOrBuilder
-
repeated int64 graph_key = 1;
- getGraphKey() - 类 中的方法org.tensorflow.distruntime.StepSequence.Builder
-
int64 graph_key = 1;
- getGraphKey() - 类 中的方法org.tensorflow.distruntime.StepSequence
-
int64 graph_key = 1;
- getGraphKey() - 接口 中的方法org.tensorflow.distruntime.StepSequenceOrBuilder
-
int64 graph_key = 1;
- getGraphKeyCount() - 类 中的方法org.tensorflow.distruntime.GetStepSequenceRequest.Builder
-
repeated int64 graph_key = 1;
- getGraphKeyCount() - 类 中的方法org.tensorflow.distruntime.GetStepSequenceRequest
-
repeated int64 graph_key = 1;
- getGraphKeyCount() - 接口 中的方法org.tensorflow.distruntime.GetStepSequenceRequestOrBuilder
-
repeated int64 graph_key = 1;
- getGraphKeyList() - 类 中的方法org.tensorflow.distruntime.GetStepSequenceRequest.Builder
-
repeated int64 graph_key = 1;
- getGraphKeyList() - 类 中的方法org.tensorflow.distruntime.GetStepSequenceRequest
-
repeated int64 graph_key = 1;
- getGraphKeyList() - 接口 中的方法org.tensorflow.distruntime.GetStepSequenceRequestOrBuilder
-
repeated int64 graph_key = 1;
- getGraphOpName() - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
Name of the op (in the OpDef) to specify the API for.
- getGraphOpName() - 类 中的方法org.tensorflow.framework.ApiDef
-
Name of the op (in the OpDef) to specify the API for.
- getGraphOpName() - 接口 中的方法org.tensorflow.framework.ApiDefOrBuilder
-
Name of the op (in the OpDef) to specify the API for.
- getGraphOpNameBytes() - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
Name of the op (in the OpDef) to specify the API for.
- getGraphOpNameBytes() - 类 中的方法org.tensorflow.framework.ApiDef
-
Name of the op (in the OpDef) to specify the API for.
- getGraphOpNameBytes() - 接口 中的方法org.tensorflow.framework.ApiDefOrBuilder
-
Name of the op (in the OpDef) to specify the API for.
- getGraphOptions() - 类 中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
Configuration options for the session in which this graph was created.
- getGraphOptions() - 类 中的方法org.tensorflow.distruntime.RegisterGraphRequest
-
Configuration options for the session in which this graph was created.
- getGraphOptions() - 接口 中的方法org.tensorflow.distruntime.RegisterGraphRequestOrBuilder
-
Configuration options for the session in which this graph was created.
- getGraphOptions() - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
Options that apply to all graphs.
- getGraphOptions() - 类 中的方法org.tensorflow.framework.ConfigProto
-
Options that apply to all graphs.
- getGraphOptions() - 接口 中的方法org.tensorflow.framework.ConfigProtoOrBuilder
-
Options that apply to all graphs.
- getGraphOptionsBuilder() - 类 中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
Configuration options for the session in which this graph was created.
- getGraphOptionsBuilder() - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
Options that apply to all graphs.
- getGraphOptionsOrBuilder() - 类 中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
Configuration options for the session in which this graph was created.
- getGraphOptionsOrBuilder() - 类 中的方法org.tensorflow.distruntime.RegisterGraphRequest
-
Configuration options for the session in which this graph was created.
- getGraphOptionsOrBuilder() - 接口 中的方法org.tensorflow.distruntime.RegisterGraphRequestOrBuilder
-
Configuration options for the session in which this graph was created.
- getGraphOptionsOrBuilder() - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
Options that apply to all graphs.
- getGraphOptionsOrBuilder() - 类 中的方法org.tensorflow.framework.ConfigProto
-
Options that apply to all graphs.
- getGraphOptionsOrBuilder() - 接口 中的方法org.tensorflow.framework.ConfigProtoOrBuilder
-
Options that apply to all graphs.
- getGraphOutputNodeInfo(int) - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfo(int) - 类 中的方法org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfo(int) - 接口 中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoBuilder(int) - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoBuilderList() - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoCount() - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoCount() - 类 中的方法org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoCount() - 接口 中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoList() - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoList() - 类 中的方法org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoList() - 接口 中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoOrBuilder(int) - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoOrBuilder(int) - 类 中的方法org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoOrBuilder(int) - 接口 中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoOrBuilderList() - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoOrBuilderList() - 类 中的方法org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoOrBuilderList() - 接口 中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeName(int) - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Remote fused graph output node name
repeated string graph_output_node_name = 3;
- getGraphOutputNodeName(int) - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Remote fused graph output node name
repeated string graph_output_node_name = 3;
- getGraphOutputNodeName(int) - 接口 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Remote fused graph output node name
repeated string graph_output_node_name = 3;
- getGraphOutputNodeNameBytes(int) - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Remote fused graph output node name
repeated string graph_output_node_name = 3;
- getGraphOutputNodeNameBytes(int) - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Remote fused graph output node name
repeated string graph_output_node_name = 3;
- getGraphOutputNodeNameBytes(int) - 接口 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Remote fused graph output node name
repeated string graph_output_node_name = 3;
- getGraphOutputNodeNameCount() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Remote fused graph output node name
repeated string graph_output_node_name = 3;
- getGraphOutputNodeNameCount() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Remote fused graph output node name
repeated string graph_output_node_name = 3;
- getGraphOutputNodeNameCount() - 接口 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Remote fused graph output node name
repeated string graph_output_node_name = 3;
- getGraphOutputNodeNameList() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Remote fused graph output node name
repeated string graph_output_node_name = 3;
- getGraphOutputNodeNameList() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Remote fused graph output node name
repeated string graph_output_node_name = 3;
- getGraphOutputNodeNameList() - 接口 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Remote fused graph output node name
repeated string graph_output_node_name = 3;
- getGraphVersion() - 类 中的方法org.tensorflow.distruntime.CreateSessionResponse.Builder
-
The initial version number for the graph, to be used in the next call
to ExtendSession.
- getGraphVersion() - 类 中的方法org.tensorflow.distruntime.CreateSessionResponse
-
The initial version number for the graph, to be used in the next call
to ExtendSession.
- getGraphVersion() - 接口 中的方法org.tensorflow.distruntime.CreateSessionResponseOrBuilder
-
The initial version number for the graph, to be used in the next call
to ExtendSession.
- getGroupKey() - 类 中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder
-
int32 group_key = 1;
- getGroupKey() - 类 中的方法org.tensorflow.distruntime.CompleteGroupRequest
-
int32 group_key = 1;
- getGroupKey() - 接口 中的方法org.tensorflow.distruntime.CompleteGroupRequestOrBuilder
-
int32 group_key = 1;
- getGroupKey() - 类 中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
int32 group_key = 1;
- getGroupKey() - 类 中的方法org.tensorflow.distruntime.CompleteGroupResponse
-
int32 group_key = 1;
- getGroupKey() - 接口 中的方法org.tensorflow.distruntime.CompleteGroupResponseOrBuilder
-
int32 group_key = 1;
- getGroupKey() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
int32 group_key = 5;
- getGroupKey() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest
-
int32 group_key = 5;
- getGroupKey() - 接口 中的方法org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder
-
int32 group_key = 5;
- getGroupSize() - 类 中的方法org.tensorflow.distruntime.CompleteGroupRequest.Builder
-
int32 group_size = 2;
- getGroupSize() - 类 中的方法org.tensorflow.distruntime.CompleteGroupRequest
-
int32 group_size = 2;
- getGroupSize() - 接口 中的方法org.tensorflow.distruntime.CompleteGroupRequestOrBuilder
-
int32 group_size = 2;
- getGroupSize() - 类 中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
int32 group_size = 2;
- getGroupSize() - 类 中的方法org.tensorflow.distruntime.CompleteGroupResponse
-
int32 group_size = 2;
- getGroupSize() - 接口 中的方法org.tensorflow.distruntime.CompleteGroupResponseOrBuilder
-
int32 group_size = 2;
- getGroupSize() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
int32 group_size = 6;
- getGroupSize() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest
-
int32 group_size = 6;
- getGroupSize() - 接口 中的方法org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder
-
int32 group_size = 6;
- getHalfVal(int) - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_HALF, DT_BFLOAT16.
- getHalfVal(int) - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_HALF, DT_BFLOAT16.
- getHalfVal(int) - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_HALF, DT_BFLOAT16.
- getHalfValCount() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_HALF, DT_BFLOAT16.
- getHalfValCount() - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_HALF, DT_BFLOAT16.
- getHalfValCount() - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_HALF, DT_BFLOAT16.
- getHalfValList() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_HALF, DT_BFLOAT16.
- getHalfValList() - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_HALF, DT_BFLOAT16.
- getHalfValList() - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_HALF, DT_BFLOAT16.
- getHandle() - 类 中的方法org.tensorflow.distruntime.MakeCallableResponse.Builder
-
A handle to the created callable.
- getHandle() - 类 中的方法org.tensorflow.distruntime.MakeCallableResponse
-
A handle to the created callable.
- getHandle() - 接口 中的方法org.tensorflow.distruntime.MakeCallableResponseOrBuilder
-
A handle to the created callable.
- getHandle() - 类 中的方法org.tensorflow.distruntime.ReleaseCallableRequest.Builder
-
REQUIRED: handle must be returned by a MakeCallable call to the same
master service.
- getHandle() - 类 中的方法org.tensorflow.distruntime.ReleaseCallableRequest
-
REQUIRED: handle must be returned by a MakeCallable call to the same
master service.
- getHandle() - 接口 中的方法org.tensorflow.distruntime.ReleaseCallableRequestOrBuilder
-
REQUIRED: handle must be returned by a MakeCallable call to the same
master service.
- getHandle() - 类 中的方法org.tensorflow.distruntime.RunCallableRequest.Builder
-
REQUIRED: handle must be returned by a MakeCallable call to the same
master service.
- getHandle() - 类 中的方法org.tensorflow.distruntime.RunCallableRequest
-
REQUIRED: handle must be returned by a MakeCallable call to the same
master service.
- getHandle() - 接口 中的方法org.tensorflow.distruntime.RunCallableRequestOrBuilder
-
REQUIRED: handle must be returned by a MakeCallable call to the same
master service.
- getHandle() - 类 中的方法org.tensorflow.framework.MemoryLogStep.Builder
-
Handle describing the feeds and fetches of the step.
- getHandle() - 类 中的方法org.tensorflow.framework.MemoryLogStep
-
Handle describing the feeds and fetches of the step.
- getHandle() - 接口 中的方法org.tensorflow.framework.MemoryLogStepOrBuilder
-
Handle describing the feeds and fetches of the step.
- getHandleBytes() - 类 中的方法org.tensorflow.framework.MemoryLogStep.Builder
-
Handle describing the feeds and fetches of the step.
- getHandleBytes() - 类 中的方法org.tensorflow.framework.MemoryLogStep
-
Handle describing the feeds and fetches of the step.
- getHandleBytes() - 接口 中的方法org.tensorflow.framework.MemoryLogStepOrBuilder
-
Handle describing the feeds and fetches of the step.
- getHandleReloadConfigRequestMethod() - 类 中的静态方法tensorflow.serving.ModelServiceGrpc
-
- getHandleToDecref() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
-
.tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;
- getHandleToDecref() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem
-
.tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;
- getHandleToDecref() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.QueueItemOrBuilder
-
.tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;
- getHandleToDecrefBuilder() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
-
.tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;
- getHandleToDecrefOrBuilder() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
-
.tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;
- getHandleToDecrefOrBuilder() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem
-
.tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;
- getHandleToDecrefOrBuilder() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.QueueItemOrBuilder
-
.tensorflow.eager.RemoteTensorHandle handle_to_decref = 1;
- getHasControlFlow() - 类 中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
已过时。
- getHasControlFlow() - 类 中的方法org.tensorflow.distruntime.RegisterGraphRequest
-
已过时。
- getHasControlFlow() - 接口 中的方法org.tensorflow.distruntime.RegisterGraphRequestOrBuilder
-
已过时。
- getHashCode() - 类 中的方法org.tensorflow.framework.ResourceHandleProto.Builder
-
Hash code for the type of the resource.
- getHashCode() - 类 中的方法org.tensorflow.framework.ResourceHandleProto
-
Hash code for the type of the resource.
- getHashCode() - 接口 中的方法org.tensorflow.framework.ResourceHandleProtoOrBuilder
-
Hash code for the type of the resource.
- getHasLengthCase() - 类 中的方法org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
- getHasLengthCase() - 类 中的方法org.tensorflow.framework.TensorSliceProto.Extent
-
- getHasLengthCase() - 接口 中的方法org.tensorflow.framework.TensorSliceProto.ExtentOrBuilder
-
- getHasMinimum() - 类 中的方法org.tensorflow.framework.OpDef.AttrDef.Builder
-
For type == "int", this is a minimum value.
- getHasMinimum() - 类 中的方法org.tensorflow.framework.OpDef.AttrDef
-
For type == "int", this is a minimum value.
- getHasMinimum() - 接口 中的方法org.tensorflow.framework.OpDef.AttrDefOrBuilder
-
For type == "int", this is a minimum value.
- getHasSingleReference() - 类 中的方法org.tensorflow.framework.AllocationDescription.Builder
-
Set if this tensor only has one remaining reference
bool has_single_reference = 5;
- getHasSingleReference() - 类 中的方法org.tensorflow.framework.AllocationDescription
-
Set if this tensor only has one remaining reference
bool has_single_reference = 5;
- getHasSingleReference() - 接口 中的方法org.tensorflow.framework.AllocationDescriptionOrBuilder
-
Set if this tensor only has one remaining reference
bool has_single_reference = 5;
- getHeight() - 类 中的方法org.tensorflow.framework.Summary.Image.Builder
-
Dimensions of the image.
- getHeight() - 类 中的方法org.tensorflow.framework.Summary.Image
-
Dimensions of the image.
- getHeight() - 接口 中的方法org.tensorflow.framework.Summary.ImageOrBuilder
-
Dimensions of the image.
- getHisto() - 类 中的方法org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.HistogramProto histo = 5;
- getHisto() - 类 中的方法org.tensorflow.framework.Summary.Value
-
.tensorflow.HistogramProto histo = 5;
- getHisto() - 接口 中的方法org.tensorflow.framework.Summary.ValueOrBuilder
-
.tensorflow.HistogramProto histo = 5;
- getHistoBuilder() - 类 中的方法org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.HistogramProto histo = 5;
- getHistoOrBuilder() - 类 中的方法org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.HistogramProto histo = 5;
- getHistoOrBuilder() - 类 中的方法org.tensorflow.framework.Summary.Value
-
.tensorflow.HistogramProto histo = 5;
- getHistoOrBuilder() - 接口 中的方法org.tensorflow.framework.Summary.ValueOrBuilder
-
.tensorflow.HistogramProto histo = 5;
- getHost() - 类 中的方法org.tensorflow.framework.DebuggedSourceFile.Builder
-
The host name on which a source code file is located.
- getHost() - 类 中的方法org.tensorflow.framework.DebuggedSourceFile
-
The host name on which a source code file is located.
- getHost() - 接口 中的方法org.tensorflow.framework.DebuggedSourceFileOrBuilder
-
The host name on which a source code file is located.
- getHostBytes() - 类 中的方法org.tensorflow.framework.DebuggedSourceFile.Builder
-
The host name on which a source code file is located.
- getHostBytes() - 类 中的方法org.tensorflow.framework.DebuggedSourceFile
-
The host name on which a source code file is located.
- getHostBytes() - 接口 中的方法org.tensorflow.framework.DebuggedSourceFileOrBuilder
-
The host name on which a source code file is located.
- getHostMemoryArg(int) - 类 中的方法org.tensorflow.framework.KernelDef.Builder
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- getHostMemoryArg(int) - 类 中的方法org.tensorflow.framework.KernelDef
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- getHostMemoryArg(int) - 接口 中的方法org.tensorflow.framework.KernelDefOrBuilder
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- getHostMemoryArgBytes(int) - 类 中的方法org.tensorflow.framework.KernelDef.Builder
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- getHostMemoryArgBytes(int) - 类 中的方法org.tensorflow.framework.KernelDef
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- getHostMemoryArgBytes(int) - 接口 中的方法org.tensorflow.framework.KernelDefOrBuilder
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- getHostMemoryArgCount() - 类 中的方法org.tensorflow.framework.KernelDef.Builder
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- getHostMemoryArgCount() - 类 中的方法org.tensorflow.framework.KernelDef
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- getHostMemoryArgCount() - 接口 中的方法org.tensorflow.framework.KernelDefOrBuilder
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- getHostMemoryArgList() - 类 中的方法org.tensorflow.framework.KernelDef.Builder
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- getHostMemoryArgList() - 类 中的方法org.tensorflow.framework.KernelDef
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- getHostMemoryArgList() - 接口 中的方法org.tensorflow.framework.KernelDefOrBuilder
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- getHostTempMemorySize() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
-
已过时。
- getHostTempMemorySize() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node
-
已过时。
- getHostTempMemorySize() - 接口 中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
已过时。
- getI() - 类 中的方法org.tensorflow.framework.AttrValue.Builder
-
"int"
int64 i = 3;
- getI() - 类 中的方法org.tensorflow.framework.AttrValue
-
"int"
int64 i = 3;
- getI(int) - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(int)"
repeated int64 i = 3 [packed = true];
- getI(int) - 类 中的方法org.tensorflow.framework.AttrValue.ListValue
-
"list(int)"
repeated int64 i = 3 [packed = true];
- getI(int) - 接口 中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(int)"
repeated int64 i = 3 [packed = true];
- getI() - 接口 中的方法org.tensorflow.framework.AttrValueOrBuilder
-
"int"
int64 i = 3;
- getICount() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(int)"
repeated int64 i = 3 [packed = true];
- getICount() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue
-
"list(int)"
repeated int64 i = 3 [packed = true];
- getICount() - 接口 中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(int)"
repeated int64 i = 3 [packed = true];
- getId() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
-
The id of the node.
- getId() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node
-
The id of the node.
- getId() - 接口 中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
The id of the node.
- getId() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
A unique identifier for the operation.
- getId() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation
-
A unique identifier for the operation.
- getId() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder
-
A unique identifier for the operation.
- getIList() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(int)"
repeated int64 i = 3 [packed = true];
- getIList() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue
-
"list(int)"
repeated int64 i = 3 [packed = true];
- getIList() - 接口 中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(int)"
repeated int64 i = 3 [packed = true];
- getImage() - 类 中的方法org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.Summary.Image image = 4;
- getImage() - 类 中的方法org.tensorflow.framework.Summary.Value
-
.tensorflow.Summary.Image image = 4;
- getImage() - 接口 中的方法org.tensorflow.framework.Summary.ValueOrBuilder
-
.tensorflow.Summary.Image image = 4;
- getImageBuilder() - 类 中的方法org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.Summary.Image image = 4;
- getImageOrBuilder() - 类 中的方法org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.Summary.Image image = 4;
- getImageOrBuilder() - 类 中的方法org.tensorflow.framework.Summary.Value
-
.tensorflow.Summary.Image image = 4;
- getImageOrBuilder() - 接口 中的方法org.tensorflow.framework.Summary.ValueOrBuilder
-
.tensorflow.Summary.Image image = 4;
- getInaccurate() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
-
Are the costs inaccurate?
- getInaccurate() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node
-
Are the costs inaccurate?
- getInaccurate() - 接口 中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
Are the costs inaccurate?
- getInArg(int) - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArg(int) - 类 中的方法org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArg(int) - 接口 中的方法org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgBuilder(int) - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgBuilderList() - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgCount() - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgCount() - 类 中的方法org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgCount() - 接口 中的方法org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgList() - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgList() - 类 中的方法org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgList() - 接口 中的方法org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgOrBuilder(int) - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgOrBuilder(int) - 类 中的方法org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgOrBuilder(int) - 接口 中的方法org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgOrBuilderList() - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgOrBuilderList() - 类 中的方法org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgOrBuilderList() - 接口 中的方法org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getIncarnation() - 类 中的方法org.tensorflow.framework.DeviceAttributes.Builder
-
A device is assigned a global unique number each time it is
initialized.
- getIncarnation() - 类 中的方法org.tensorflow.framework.DeviceAttributes
-
A device is assigned a global unique number each time it is
initialized.
- getIncarnation() - 接口 中的方法org.tensorflow.framework.DeviceAttributesOrBuilder
-
A device is assigned a global unique number each time it is
initialized.
- getIndex() - 类 中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Index of the output being set.
- getIndex() - 类 中的方法org.tensorflow.framework.MemoryLogTensorOutput
-
Index of the output being set.
- getIndex() - 接口 中的方法org.tensorflow.framework.MemoryLogTensorOutputOrBuilder
-
Index of the output being set.
- getIndicesOutputTensorName() - 类 中的方法org.tensorflow.example.VarLenFeatureProto.Builder
-
string indices_output_tensor_name = 3;
- getIndicesOutputTensorName() - 类 中的方法org.tensorflow.example.VarLenFeatureProto
-
string indices_output_tensor_name = 3;
- getIndicesOutputTensorName() - 接口 中的方法org.tensorflow.example.VarLenFeatureProtoOrBuilder
-
string indices_output_tensor_name = 3;
- getIndicesOutputTensorNameBytes() - 类 中的方法org.tensorflow.example.VarLenFeatureProto.Builder
-
string indices_output_tensor_name = 3;
- getIndicesOutputTensorNameBytes() - 类 中的方法org.tensorflow.example.VarLenFeatureProto
-
string indices_output_tensor_name = 3;
- getIndicesOutputTensorNameBytes() - 接口 中的方法org.tensorflow.example.VarLenFeatureProtoOrBuilder
-
string indices_output_tensor_name = 3;
- getIndicesTensorName() - 类 中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder
-
The indices Tensor must have dtype int64 and shape [?
- getIndicesTensorName() - 类 中的方法org.tensorflow.framework.TensorInfo.CooSparse
-
The indices Tensor must have dtype int64 and shape [?
- getIndicesTensorName() - 接口 中的方法org.tensorflow.framework.TensorInfo.CooSparseOrBuilder
-
The indices Tensor must have dtype int64 and shape [?
- getIndicesTensorNameBytes() - 类 中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder
-
The indices Tensor must have dtype int64 and shape [?
- getIndicesTensorNameBytes() - 类 中的方法org.tensorflow.framework.TensorInfo.CooSparse
-
The indices Tensor must have dtype int64 and shape [?
- getIndicesTensorNameBytes() - 接口 中的方法org.tensorflow.framework.TensorInfo.CooSparseOrBuilder
-
The indices Tensor must have dtype int64 and shape [?
- getInferShapes() - 类 中的方法org.tensorflow.framework.GraphOptions.Builder
-
Annotate each Node with Op output shape data, to the extent it can
be statically inferred.
- getInferShapes() - 类 中的方法org.tensorflow.framework.GraphOptions
-
Annotate each Node with Op output shape data, to the extent it can
be statically inferred.
- getInferShapes() - 接口 中的方法org.tensorflow.framework.GraphOptionsOrBuilder
-
Annotate each Node with Op output shape data, to the extent it can
be statically inferred.
- getInitializerName() - 类 中的方法org.tensorflow.framework.VariableDef.Builder
-
Name of the initializer op.
- getInitializerName() - 类 中的方法org.tensorflow.framework.VariableDef
-
Name of the initializer op.
- getInitializerName() - 接口 中的方法org.tensorflow.framework.VariableDefOrBuilder
-
Name of the initializer op.
- getInitializerNameBytes() - 类 中的方法org.tensorflow.framework.VariableDef.Builder
-
Name of the initializer op.
- getInitializerNameBytes() - 类 中的方法org.tensorflow.framework.VariableDef
-
Name of the initializer op.
- getInitializerNameBytes() - 接口 中的方法org.tensorflow.framework.VariableDefOrBuilder
-
Name of the initializer op.
- getInitialValueName() - 类 中的方法org.tensorflow.framework.VariableDef.Builder
-
Name of the tensor holding the variable's initial value.
- getInitialValueName() - 类 中的方法org.tensorflow.framework.VariableDef
-
Name of the tensor holding the variable's initial value.
- getInitialValueName() - 接口 中的方法org.tensorflow.framework.VariableDefOrBuilder
-
Name of the tensor holding the variable's initial value.
- getInitialValueNameBytes() - 类 中的方法org.tensorflow.framework.VariableDef.Builder
-
Name of the tensor holding the variable's initial value.
- getInitialValueNameBytes() - 类 中的方法org.tensorflow.framework.VariableDef
-
Name of the tensor holding the variable's initial value.
- getInitialValueNameBytes() - 接口 中的方法org.tensorflow.framework.VariableDefOrBuilder
-
Name of the tensor holding the variable's initial value.
- getInput(int) - 类 中的方法org.tensorflow.framework.NodeDef.Builder
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- getInput(int) - 类 中的方法org.tensorflow.framework.NodeDef
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- getInput(int) - 接口 中的方法org.tensorflow.framework.NodeDefOrBuilder
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- getInput() - 类 中的方法tensorflow.serving.Classification.ClassificationRequest.Builder
-
Input data.
- getInput() - 类 中的方法tensorflow.serving.Classification.ClassificationRequest
-
Input data.
- getInput() - 接口 中的方法tensorflow.serving.Classification.ClassificationRequestOrBuilder
-
Input data.
- getInput() - 类 中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder
-
Input data.
- getInput() - 类 中的方法tensorflow.serving.Inference.MultiInferenceRequest
-
Input data.
- getInput() - 接口 中的方法tensorflow.serving.Inference.MultiInferenceRequestOrBuilder
-
Input data.
- getInput() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder
-
Input data.
- getInput() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest
-
Input data.
- getInput() - 接口 中的方法tensorflow.serving.RegressionOuterClass.RegressionRequestOrBuilder
-
Input data.
- getInputArg(int) - 类 中的方法org.tensorflow.framework.OpDef.Builder
-
Description of the input(s).
- getInputArg(int) - 类 中的方法org.tensorflow.framework.OpDef
-
Description of the input(s).
- getInputArg(int) - 接口 中的方法org.tensorflow.framework.OpDefOrBuilder
-
Description of the input(s).
- getInputArgBuilder(int) - 类 中的方法org.tensorflow.framework.OpDef.Builder
-
Description of the input(s).
- getInputArgBuilderList() - 类 中的方法org.tensorflow.framework.OpDef.Builder
-
Description of the input(s).
- getInputArgCount() - 类 中的方法org.tensorflow.framework.OpDef.Builder
-
Description of the input(s).
- getInputArgCount() - 类 中的方法org.tensorflow.framework.OpDef
-
Description of the input(s).
- getInputArgCount() - 接口 中的方法org.tensorflow.framework.OpDefOrBuilder
-
Description of the input(s).
- getInputArgList() - 类 中的方法org.tensorflow.framework.OpDef.Builder
-
Description of the input(s).
- getInputArgList() - 类 中的方法org.tensorflow.framework.OpDef
-
Description of the input(s).
- getInputArgList() - 接口 中的方法org.tensorflow.framework.OpDefOrBuilder
-
Description of the input(s).
- getInputArgOrBuilder(int) - 类 中的方法org.tensorflow.framework.OpDef.Builder
-
Description of the input(s).
- getInputArgOrBuilder(int) - 类 中的方法org.tensorflow.framework.OpDef
-
Description of the input(s).
- getInputArgOrBuilder(int) - 接口 中的方法org.tensorflow.framework.OpDefOrBuilder
-
Description of the input(s).
- getInputArgOrBuilderList() - 类 中的方法org.tensorflow.framework.OpDef.Builder
-
Description of the input(s).
- getInputArgOrBuilderList() - 类 中的方法org.tensorflow.framework.OpDef
-
Description of the input(s).
- getInputArgOrBuilderList() - 接口 中的方法org.tensorflow.framework.OpDefOrBuilder
-
Description of the input(s).
- getInputBuilder() - 类 中的方法tensorflow.serving.Classification.ClassificationRequest.Builder
-
Input data.
- getInputBuilder() - 类 中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder
-
Input data.
- getInputBuilder() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder
-
Input data.
- getInputBytes(int) - 类 中的方法org.tensorflow.framework.NodeDef.Builder
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- getInputBytes(int) - 类 中的方法org.tensorflow.framework.NodeDef
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- getInputBytes(int) - 接口 中的方法org.tensorflow.framework.NodeDefOrBuilder
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- getInputCount() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
int32 input_count = 6;
- getInputCount() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInfo
-
int32 input_count = 6;
- getInputCount() - 接口 中的方法org.tensorflow.framework.GraphTransferNodeInfoOrBuilder
-
int32 input_count = 6;
- getInputCount() - 类 中的方法org.tensorflow.framework.NodeDef.Builder
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- getInputCount() - 类 中的方法org.tensorflow.framework.NodeDef
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- getInputCount() - 接口 中的方法org.tensorflow.framework.NodeDefOrBuilder
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- getInputInfo(int) - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfo(int) - 类 中的方法org.tensorflow.framework.CostGraphDef.Node
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfo(int) - 接口 中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoBuilder(int) - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoBuilderList() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoCount() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoCount() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoCount() - 接口 中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoList() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoList() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoList() - 接口 中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoOrBuilder(int) - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoOrBuilder(int) - 类 中的方法org.tensorflow.framework.CostGraphDef.Node
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoOrBuilder(int) - 接口 中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoOrBuilderList() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoOrBuilderList() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoOrBuilderList() - 接口 中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputList() - 类 中的方法org.tensorflow.framework.NodeDef.Builder
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- getInputList() - 类 中的方法org.tensorflow.framework.NodeDef
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- getInputList() - 接口 中的方法org.tensorflow.framework.NodeDefOrBuilder
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- getInputOrBuilder() - 类 中的方法tensorflow.serving.Classification.ClassificationRequest.Builder
-
Input data.
- getInputOrBuilder() - 类 中的方法tensorflow.serving.Classification.ClassificationRequest
-
Input data.
- getInputOrBuilder() - 接口 中的方法tensorflow.serving.Classification.ClassificationRequestOrBuilder
-
Input data.
- getInputOrBuilder() - 类 中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder
-
Input data.
- getInputOrBuilder() - 类 中的方法tensorflow.serving.Inference.MultiInferenceRequest
-
Input data.
- getInputOrBuilder() - 接口 中的方法tensorflow.serving.Inference.MultiInferenceRequestOrBuilder
-
Input data.
- getInputOrBuilder() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder
-
Input data.
- getInputOrBuilder() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest
-
Input data.
- getInputOrBuilder() - 接口 中的方法tensorflow.serving.RegressionOuterClass.RegressionRequestOrBuilder
-
Input data.
- getInputs() - 类 中的方法org.tensorflow.framework.SignatureDef.Builder
-
已过时。
- getInputs() - 类 中的方法org.tensorflow.framework.SignatureDef
-
已过时。
- getInputs() - 接口 中的方法org.tensorflow.framework.SignatureDefOrBuilder
-
已过时。
- getInputs(int) - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
- getInputs(int) - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation
-
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
- getInputs(int) - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder
-
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
- getInputs() - 类 中的方法tensorflow.serving.Predict.PredictRequest.Builder
-
已过时。
- getInputs() - 类 中的方法tensorflow.serving.Predict.PredictRequest
-
已过时。
- getInputs() - 接口 中的方法tensorflow.serving.Predict.PredictRequestOrBuilder
-
已过时。
- getInputsBuilder(int) - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
- getInputsBuilderList() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
- getInputsCount() - 类 中的方法org.tensorflow.framework.SignatureDef.Builder
-
- getInputsCount() - 类 中的方法org.tensorflow.framework.SignatureDef
-
- getInputsCount() - 接口 中的方法org.tensorflow.framework.SignatureDefOrBuilder
-
Named input parameters.
- getInputsCount() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
- getInputsCount() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation
-
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
- getInputsCount() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder
-
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
- getInputsCount() - 类 中的方法tensorflow.serving.Predict.PredictRequest.Builder
-
- getInputsCount() - 类 中的方法tensorflow.serving.Predict.PredictRequest
-
- getInputsCount() - 接口 中的方法tensorflow.serving.Predict.PredictRequestOrBuilder
-
Input tensors.
- getInputsList() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
- getInputsList() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation
-
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
- getInputsList() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder
-
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
- getInputsMap() - 类 中的方法org.tensorflow.framework.SignatureDef.Builder
-
Named input parameters.
- getInputsMap() - 类 中的方法org.tensorflow.framework.SignatureDef
-
Named input parameters.
- getInputsMap() - 接口 中的方法org.tensorflow.framework.SignatureDefOrBuilder
-
Named input parameters.
- getInputsMap() - 类 中的方法tensorflow.serving.Predict.PredictRequest.Builder
-
Input tensors.
- getInputsMap() - 类 中的方法tensorflow.serving.Predict.PredictRequest
-
Input tensors.
- getInputsMap() - 接口 中的方法tensorflow.serving.Predict.PredictRequestOrBuilder
-
Input tensors.
- getInputsOrBuilder(int) - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
- getInputsOrBuilder(int) - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation
-
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
- getInputsOrBuilder(int) - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder
-
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
- getInputsOrBuilderList() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
- getInputsOrBuilderList() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation
-
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
- getInputsOrBuilderList() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder
-
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
- getInputsOrDefault(String, TensorInfo) - 类 中的方法org.tensorflow.framework.SignatureDef.Builder
-
Named input parameters.
- getInputsOrDefault(String, TensorInfo) - 类 中的方法org.tensorflow.framework.SignatureDef
-
Named input parameters.
- getInputsOrDefault(String, TensorInfo) - 接口 中的方法org.tensorflow.framework.SignatureDefOrBuilder
-
Named input parameters.
- getInputsOrDefault(String, TensorProto) - 类 中的方法tensorflow.serving.Predict.PredictRequest.Builder
-
Input tensors.
- getInputsOrDefault(String, TensorProto) - 类 中的方法tensorflow.serving.Predict.PredictRequest
-
Input tensors.
- getInputsOrDefault(String, TensorProto) - 接口 中的方法tensorflow.serving.Predict.PredictRequestOrBuilder
-
Input tensors.
- getInputsOrThrow(String) - 类 中的方法org.tensorflow.framework.SignatureDef.Builder
-
Named input parameters.
- getInputsOrThrow(String) - 类 中的方法org.tensorflow.framework.SignatureDef
-
Named input parameters.
- getInputsOrThrow(String) - 接口 中的方法org.tensorflow.framework.SignatureDefOrBuilder
-
Named input parameters.
- getInputsOrThrow(String) - 类 中的方法tensorflow.serving.Predict.PredictRequest.Builder
-
Input tensors.
- getInputsOrThrow(String) - 类 中的方法tensorflow.serving.Predict.PredictRequest
-
Input tensors.
- getInputsOrThrow(String) - 接口 中的方法tensorflow.serving.Predict.PredictRequestOrBuilder
-
Input tensors.
- getInstanceKey() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
int32 instance_key = 7;
- getInstanceKey() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest
-
int32 instance_key = 7;
- getInstanceKey() - 接口 中的方法org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder
-
int32 instance_key = 7;
- getInstanceKey() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceResponse.Builder
-
int32 instance_key = 1;
- getInstanceKey() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceResponse
-
int32 instance_key = 1;
- getInstanceKey() - 接口 中的方法org.tensorflow.distruntime.CompleteInstanceResponseOrBuilder
-
int32 instance_key = 1;
- getInt64List() - 类 中的方法org.tensorflow.example.Feature.Builder
-
.tensorflow.Int64List int64_list = 3;
- getInt64List() - 类 中的方法org.tensorflow.example.Feature
-
.tensorflow.Int64List int64_list = 3;
- getInt64List() - 接口 中的方法org.tensorflow.example.FeatureOrBuilder
-
.tensorflow.Int64List int64_list = 3;
- getInt64List() - 类 中的方法org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.Int64List int64_list = 3;
- getInt64List() - 类 中的方法org.tensorflow.framework.CollectionDef
-
.tensorflow.CollectionDef.Int64List int64_list = 3;
- getInt64List() - 接口 中的方法org.tensorflow.framework.CollectionDefOrBuilder
-
.tensorflow.CollectionDef.Int64List int64_list = 3;
- getInt64ListBuilder() - 类 中的方法org.tensorflow.example.Feature.Builder
-
.tensorflow.Int64List int64_list = 3;
- getInt64ListBuilder() - 类 中的方法org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.Int64List int64_list = 3;
- getInt64ListOrBuilder() - 类 中的方法org.tensorflow.example.Feature.Builder
-
.tensorflow.Int64List int64_list = 3;
- getInt64ListOrBuilder() - 类 中的方法org.tensorflow.example.Feature
-
.tensorflow.Int64List int64_list = 3;
- getInt64ListOrBuilder() - 接口 中的方法org.tensorflow.example.FeatureOrBuilder
-
.tensorflow.Int64List int64_list = 3;
- getInt64ListOrBuilder() - 类 中的方法org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.Int64List int64_list = 3;
- getInt64ListOrBuilder() - 类 中的方法org.tensorflow.framework.CollectionDef
-
.tensorflow.CollectionDef.Int64List int64_list = 3;
- getInt64ListOrBuilder() - 接口 中的方法org.tensorflow.framework.CollectionDefOrBuilder
-
.tensorflow.CollectionDef.Int64List int64_list = 3;
- getInt64Val(int) - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_INT64
repeated int64 int64_val = 10 [packed = true];
- getInt64Val(int) - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_INT64
repeated int64 int64_val = 10 [packed = true];
- getInt64Val(int) - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_INT64
repeated int64 int64_val = 10 [packed = true];
- getInt64ValCount() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_INT64
repeated int64 int64_val = 10 [packed = true];
- getInt64ValCount() - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_INT64
repeated int64 int64_val = 10 [packed = true];
- getInt64ValCount() - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_INT64
repeated int64 int64_val = 10 [packed = true];
- getInt64ValList() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_INT64
repeated int64 int64_val = 10 [packed = true];
- getInt64ValList() - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_INT64
repeated int64 int64_val = 10 [packed = true];
- getInt64ValList() - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_INT64
repeated int64 int64_val = 10 [packed = true];
- getInterOpParallelismThreads() - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
Nodes that perform blocking operations are enqueued on a pool of
inter_op_parallelism_threads available in each process.
0 means the system picks an appropriate number.
- getInterOpParallelismThreads() - 类 中的方法org.tensorflow.framework.ConfigProto
-
Nodes that perform blocking operations are enqueued on a pool of
inter_op_parallelism_threads available in each process.
0 means the system picks an appropriate number.
- getInterOpParallelismThreads() - 接口 中的方法org.tensorflow.framework.ConfigProtoOrBuilder
-
Nodes that perform blocking operations are enqueued on a pool of
inter_op_parallelism_threads available in each process.
0 means the system picks an appropriate number.
- getInterOpThreadPool() - 类 中的方法org.tensorflow.framework.RunOptions.Builder
-
The thread pool to use, if session_inter_op_thread_pool is configured.
- getInterOpThreadPool() - 类 中的方法org.tensorflow.framework.RunOptions
-
The thread pool to use, if session_inter_op_thread_pool is configured.
- getInterOpThreadPool() - 接口 中的方法org.tensorflow.framework.RunOptionsOrBuilder
-
The thread pool to use, if session_inter_op_thread_pool is configured.
- getIntraOpParallelismThreads() - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
The execution of an individual op (for some op types) can be
parallelized on a pool of intra_op_parallelism_threads.
0 means the system picks an appropriate number.
- getIntraOpParallelismThreads() - 类 中的方法org.tensorflow.framework.ConfigProto
-
The execution of an individual op (for some op types) can be
parallelized on a pool of intra_op_parallelism_threads.
0 means the system picks an appropriate number.
- getIntraOpParallelismThreads() - 接口 中的方法org.tensorflow.framework.ConfigProtoOrBuilder
-
The execution of an individual op (for some op types) can be
parallelized on a pool of intra_op_parallelism_threads.
0 means the system picks an appropriate number.
- getIntVal(int) - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
- getIntVal(int) - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
- getIntVal(int) - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
- getIntValCount() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
- getIntValCount() - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
- getIntValCount() - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
- getIntValList() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
- getIntValList() - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
- getIntValList() - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
- getIsAggregate() - 类 中的方法org.tensorflow.framework.OpDef.Builder
-
If is_aggregate is true, then this operation accepts N >= 2
inputs and produces 1 output all of the same type.
- getIsAggregate() - 类 中的方法org.tensorflow.framework.OpDef
-
If is_aggregate is true, then this operation accepts N >= 2
inputs and produces 1 output all of the same type.
- getIsAggregate() - 接口 中的方法org.tensorflow.framework.OpDefOrBuilder
-
If is_aggregate is true, then this operation accepts N >= 2
inputs and produces 1 output all of the same type.
- getIsCommutative() - 类 中的方法org.tensorflow.framework.OpDef.Builder
-
True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
bool is_commutative = 18;
- getIsCommutative() - 类 中的方法org.tensorflow.framework.OpDef
-
True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
bool is_commutative = 18;
- getIsCommutative() - 接口 中的方法org.tensorflow.framework.OpDefOrBuilder
-
True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
bool is_commutative = 18;
- getIsDead() - 类 中的方法org.tensorflow.distruntime.RecvBufResponse.Builder
-
True if value is 'dead' like a tensor.
- getIsDead() - 类 中的方法org.tensorflow.distruntime.RecvBufResponse
-
True if value is 'dead' like a tensor.
- getIsDead() - 接口 中的方法org.tensorflow.distruntime.RecvBufResponseOrBuilder
-
True if value is 'dead' like a tensor.
- getIsDead() - 类 中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder
-
If true, this tensor was the output of a dead node, and the
content is invalid.
- getIsDead() - 类 中的方法org.tensorflow.distruntime.RecvTensorResponse
-
If true, this tensor was the output of a dead node, and the
content is invalid.
- getIsDead() - 接口 中的方法org.tensorflow.distruntime.RecvTensorResponseOrBuilder
-
If true, this tensor was the output of a dead node, and the
content is invalid.
- getIsFinal() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
-
If true, the output is permanent: it can't be discarded, because this
node is part of the "final output".
- getIsFinal() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node
-
If true, the output is permanent: it can't be discarded, because this
node is part of the "final output".
- getIsFinal() - 接口 中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
If true, the output is permanent: it can't be discarded, because this
node is part of the "final output".
- getIsLastPartialRun() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
-
True if this is the last partial run request in a sequence of requests.
- getIsLastPartialRun() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest
-
True if this is the last partial run request in a sequence of requests.
- getIsLastPartialRun() - 接口 中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
True if this is the last partial run request in a sequence of requests.
- getIsolateSessionState() - 类 中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
-
If true, any resources such as Variables used in the session will not be
shared with other sessions.
- getIsolateSessionState() - 类 中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest
-
If true, any resources such as Variables used in the session will not be
shared with other sessions.
- getIsolateSessionState() - 接口 中的方法org.tensorflow.distruntime.CreateWorkerSessionRequestOrBuilder
-
If true, any resources such as Variables used in the session will not be
shared with other sessions.
- getIsolateSessionState() - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
If true, any resources such as Variables used in the session will not be
shared with other sessions.
- getIsolateSessionState() - 类 中的方法org.tensorflow.framework.ConfigProto
-
If true, any resources such as Variables used in the session will not be
shared with other sessions.
- getIsolateSessionState() - 接口 中的方法org.tensorflow.framework.ConfigProtoOrBuilder
-
If true, any resources such as Variables used in the session will not be
shared with other sessions.
- getIsPartial() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
-
True if the RunGraphRequest is a partial run request.
- getIsPartial() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest
-
True if the RunGraphRequest is a partial run request.
- getIsPartial() - 接口 中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
True if the RunGraphRequest is a partial run request.
- getIsRef() - 类 中的方法org.tensorflow.framework.OpDef.ArgDef.Builder
-
For inputs: if true, the inputs are required to be refs.
- getIsRef() - 类 中的方法org.tensorflow.framework.OpDef.ArgDef
-
For inputs: if true, the inputs are required to be refs.
- getIsRef() - 接口 中的方法org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
For inputs: if true, the inputs are required to be refs.
- getIsResource() - 类 中的方法org.tensorflow.framework.VariableDef.Builder
-
Whether to represent this as a ResourceVariable.
- getIsResource() - 类 中的方法org.tensorflow.framework.VariableDef
-
Whether to represent this as a ResourceVariable.
- getIsResource() - 接口 中的方法org.tensorflow.framework.VariableDefOrBuilder
-
Whether to represent this as a ResourceVariable.
- getIsSource() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
bool is_source = 11;
- getIsSource() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest
-
bool is_source = 11;
- getIsSource() - 接口 中的方法org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder
-
bool is_source = 11;
- getIsStateful() - 类 中的方法org.tensorflow.framework.OpDef.Builder
-
Ops are marked as stateful if their behavior depends on some state beyond
their input tensors (e.g. variable reading op) or if they have
a side-effect (e.g. printing or asserting ops).
- getIsStateful() - 类 中的方法org.tensorflow.framework.OpDef
-
Ops are marked as stateful if their behavior depends on some state beyond
their input tensors (e.g. variable reading op) or if they have
a side-effect (e.g. printing or asserting ops).
- getIsStateful() - 接口 中的方法org.tensorflow.framework.OpDefOrBuilder
-
Ops are marked as stateful if their behavior depends on some state beyond
their input tensors (e.g. variable reading op) or if they have
a side-effect (e.g. printing or asserting ops).
- getItemCase() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
-
- getItemCase() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem
-
- getItemCase() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.QueueItemOrBuilder
-
- getJob(int) - 类 中的方法org.tensorflow.distruntime.ClusterDef.Builder
-
The jobs that comprise the cluster.
- getJob(int) - 类 中的方法org.tensorflow.distruntime.ClusterDef
-
The jobs that comprise the cluster.
- getJob(int) - 接口 中的方法org.tensorflow.distruntime.ClusterDefOrBuilder
-
The jobs that comprise the cluster.
- getJobBuilder(int) - 类 中的方法org.tensorflow.distruntime.ClusterDef.Builder
-
The jobs that comprise the cluster.
- getJobBuilderList() - 类 中的方法org.tensorflow.distruntime.ClusterDef.Builder
-
The jobs that comprise the cluster.
- getJobCount() - 类 中的方法org.tensorflow.distruntime.ClusterDef.Builder
-
The jobs that comprise the cluster.
- getJobCount() - 类 中的方法org.tensorflow.distruntime.ClusterDef
-
The jobs that comprise the cluster.
- getJobCount() - 接口 中的方法org.tensorflow.distruntime.ClusterDefOrBuilder
-
The jobs that comprise the cluster.
- getJobList() - 类 中的方法org.tensorflow.distruntime.ClusterDef.Builder
-
The jobs that comprise the cluster.
- getJobList() - 类 中的方法org.tensorflow.distruntime.ClusterDef
-
The jobs that comprise the cluster.
- getJobList() - 接口 中的方法org.tensorflow.distruntime.ClusterDefOrBuilder
-
The jobs that comprise the cluster.
- getJobName() - 类 中的方法org.tensorflow.distruntime.ServerDef.Builder
-
The name of the job of which this server is a member.
- getJobName() - 类 中的方法org.tensorflow.distruntime.ServerDef
-
The name of the job of which this server is a member.
- getJobName() - 接口 中的方法org.tensorflow.distruntime.ServerDefOrBuilder
-
The name of the job of which this server is a member.
- getJobNameBytes() - 类 中的方法org.tensorflow.distruntime.ServerDef.Builder
-
The name of the job of which this server is a member.
- getJobNameBytes() - 类 中的方法org.tensorflow.distruntime.ServerDef
-
The name of the job of which this server is a member.
- getJobNameBytes() - 接口 中的方法org.tensorflow.distruntime.ServerDefOrBuilder
-
The name of the job of which this server is a member.
- getJobOrBuilder(int) - 类 中的方法org.tensorflow.distruntime.ClusterDef.Builder
-
The jobs that comprise the cluster.
- getJobOrBuilder(int) - 类 中的方法org.tensorflow.distruntime.ClusterDef
-
The jobs that comprise the cluster.
- getJobOrBuilder(int) - 接口 中的方法org.tensorflow.distruntime.ClusterDefOrBuilder
-
The jobs that comprise the cluster.
- getJobOrBuilderList() - 类 中的方法org.tensorflow.distruntime.ClusterDef.Builder
-
The jobs that comprise the cluster.
- getJobOrBuilderList() - 类 中的方法org.tensorflow.distruntime.ClusterDef
-
The jobs that comprise the cluster.
- getJobOrBuilderList() - 接口 中的方法org.tensorflow.distruntime.ClusterDefOrBuilder
-
The jobs that comprise the cluster.
- getKeepAliveMethod() - 类 中的静态方法tensorflow.eager.EagerServiceGrpc
-
- getKeepAliveSecs() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
-
Number of seconds to keep the context alive.
- getKeepAliveSecs() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
-
Number of seconds to keep the context alive.
- getKeepAliveSecs() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequestOrBuilder
-
Number of seconds to keep the context alive.
- getKeepCheckpointEveryNHours() - 类 中的方法org.tensorflow.util.SaverDef.Builder
-
How often to keep an additional checkpoint.
- getKeepCheckpointEveryNHours() - 类 中的方法org.tensorflow.util.SaverDef
-
How often to keep an additional checkpoint.
- getKeepCheckpointEveryNHours() - 接口 中的方法org.tensorflow.util.SaverDefOrBuilder
-
How often to keep an additional checkpoint.
- getKernel(int) - 类 中的方法org.tensorflow.framework.KernelList.Builder
-
repeated .tensorflow.KernelDef kernel = 1;
- getKernel(int) - 类 中的方法org.tensorflow.framework.KernelList
-
repeated .tensorflow.KernelDef kernel = 1;
- getKernel(int) - 接口 中的方法org.tensorflow.framework.KernelListOrBuilder
-
repeated .tensorflow.KernelDef kernel = 1;
- getKernelBuilder(int) - 类 中的方法org.tensorflow.framework.KernelList.Builder
-
repeated .tensorflow.KernelDef kernel = 1;
- getKernelBuilderList() - 类 中的方法org.tensorflow.framework.KernelList.Builder
-
repeated .tensorflow.KernelDef kernel = 1;
- getKernelCount() - 类 中的方法org.tensorflow.framework.KernelList.Builder
-
repeated .tensorflow.KernelDef kernel = 1;
- getKernelCount() - 类 中的方法org.tensorflow.framework.KernelList
-
repeated .tensorflow.KernelDef kernel = 1;
- getKernelCount() - 接口 中的方法org.tensorflow.framework.KernelListOrBuilder
-
repeated .tensorflow.KernelDef kernel = 1;
- getKernelList() - 类 中的方法org.tensorflow.framework.KernelList.Builder
-
repeated .tensorflow.KernelDef kernel = 1;
- getKernelList() - 类 中的方法org.tensorflow.framework.KernelList
-
repeated .tensorflow.KernelDef kernel = 1;
- getKernelList() - 接口 中的方法org.tensorflow.framework.KernelListOrBuilder
-
repeated .tensorflow.KernelDef kernel = 1;
- getKernelName() - 类 中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
Name of the kernel making the allocation as set in GraphDef,
e.g., "affine2/weights/Assign".
- getKernelName() - 类 中的方法org.tensorflow.framework.MemoryLogTensorAllocation
-
Name of the kernel making the allocation as set in GraphDef,
e.g., "affine2/weights/Assign".
- getKernelName() - 接口 中的方法org.tensorflow.framework.MemoryLogTensorAllocationOrBuilder
-
Name of the kernel making the allocation as set in GraphDef,
e.g., "affine2/weights/Assign".
- getKernelName() - 类 中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Name of the kernel producing an output as set in GraphDef, e.g.,
"affine2/weights/Assign".
- getKernelName() - 类 中的方法org.tensorflow.framework.MemoryLogTensorOutput
-
Name of the kernel producing an output as set in GraphDef, e.g.,
"affine2/weights/Assign".
- getKernelName() - 接口 中的方法org.tensorflow.framework.MemoryLogTensorOutputOrBuilder
-
Name of the kernel producing an output as set in GraphDef, e.g.,
"affine2/weights/Assign".
- getKernelNameBytes() - 类 中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
Name of the kernel making the allocation as set in GraphDef,
e.g., "affine2/weights/Assign".
- getKernelNameBytes() - 类 中的方法org.tensorflow.framework.MemoryLogTensorAllocation
-
Name of the kernel making the allocation as set in GraphDef,
e.g., "affine2/weights/Assign".
- getKernelNameBytes() - 接口 中的方法org.tensorflow.framework.MemoryLogTensorAllocationOrBuilder
-
Name of the kernel making the allocation as set in GraphDef,
e.g., "affine2/weights/Assign".
- getKernelNameBytes() - 类 中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Name of the kernel producing an output as set in GraphDef, e.g.,
"affine2/weights/Assign".
- getKernelNameBytes() - 类 中的方法org.tensorflow.framework.MemoryLogTensorOutput
-
Name of the kernel producing an output as set in GraphDef, e.g.,
"affine2/weights/Assign".
- getKernelNameBytes() - 接口 中的方法org.tensorflow.framework.MemoryLogTensorOutputOrBuilder
-
Name of the kernel producing an output as set in GraphDef, e.g.,
"affine2/weights/Assign".
- getKernelOrBuilder(int) - 类 中的方法org.tensorflow.framework.KernelList.Builder
-
repeated .tensorflow.KernelDef kernel = 1;
- getKernelOrBuilder(int) - 类 中的方法org.tensorflow.framework.KernelList
-
repeated .tensorflow.KernelDef kernel = 1;
- getKernelOrBuilder(int) - 接口 中的方法org.tensorflow.framework.KernelListOrBuilder
-
repeated .tensorflow.KernelDef kernel = 1;
- getKernelOrBuilderList() - 类 中的方法org.tensorflow.framework.KernelList.Builder
-
repeated .tensorflow.KernelDef kernel = 1;
- getKernelOrBuilderList() - 类 中的方法org.tensorflow.framework.KernelList
-
repeated .tensorflow.KernelDef kernel = 1;
- getKernelOrBuilderList() - 接口 中的方法org.tensorflow.framework.KernelListOrBuilder
-
repeated .tensorflow.KernelDef kernel = 1;
- getKeys(int) - 类 中的方法org.tensorflow.util.IteratorStateMetadata.Builder
-
Keys for tensors in the VariantTensorDataProto.
- getKeys(int) - 类 中的方法org.tensorflow.util.IteratorStateMetadata
-
Keys for tensors in the VariantTensorDataProto.
- getKeys(int) - 接口 中的方法org.tensorflow.util.IteratorStateMetadataOrBuilder
-
Keys for tensors in the VariantTensorDataProto.
- getKeysBytes(int) - 类 中的方法org.tensorflow.util.IteratorStateMetadata.Builder
-
Keys for tensors in the VariantTensorDataProto.
- getKeysBytes(int) - 类 中的方法org.tensorflow.util.IteratorStateMetadata
-
Keys for tensors in the VariantTensorDataProto.
- getKeysBytes(int) - 接口 中的方法org.tensorflow.util.IteratorStateMetadataOrBuilder
-
Keys for tensors in the VariantTensorDataProto.
- getKeysCount() - 类 中的方法org.tensorflow.util.IteratorStateMetadata.Builder
-
Keys for tensors in the VariantTensorDataProto.
- getKeysCount() - 类 中的方法org.tensorflow.util.IteratorStateMetadata
-
Keys for tensors in the VariantTensorDataProto.
- getKeysCount() - 接口 中的方法org.tensorflow.util.IteratorStateMetadataOrBuilder
-
Keys for tensors in the VariantTensorDataProto.
- getKeysList() - 类 中的方法org.tensorflow.util.IteratorStateMetadata.Builder
-
Keys for tensors in the VariantTensorDataProto.
- getKeysList() - 类 中的方法org.tensorflow.util.IteratorStateMetadata
-
Keys for tensors in the VariantTensorDataProto.
- getKeysList() - 接口 中的方法org.tensorflow.util.IteratorStateMetadataOrBuilder
-
Keys for tensors in the VariantTensorDataProto.
- getKindCase() - 类 中的方法org.tensorflow.example.Feature.Builder
-
- getKindCase() - 类 中的方法org.tensorflow.example.Feature
-
- getKindCase() - 接口 中的方法org.tensorflow.example.FeatureOrBuilder
-
- getKindCase() - 类 中的方法org.tensorflow.framework.CollectionDef.Builder
-
- getKindCase() - 类 中的方法org.tensorflow.framework.CollectionDef
-
- getKindCase() - 接口 中的方法org.tensorflow.framework.CollectionDefOrBuilder
-
- getKindCase() - 类 中的方法tensorflow.serving.InputOuterClass.Input.Builder
-
- getKindCase() - 类 中的方法tensorflow.serving.InputOuterClass.Input
-
- getKindCase() - 接口 中的方法tensorflow.serving.InputOuterClass.InputOrBuilder
-
- getKindCase() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.Builder
-
- getKindCase() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
-
- getKindCase() - 接口 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInputOrBuilder
-
- getL1CacheSize() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
L1 cache size in bytes
int64 l1_cache_size = 8;
- getL1CacheSize() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties
-
L1 cache size in bytes
int64 l1_cache_size = 8;
- getL1CacheSize() - 接口 中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
L1 cache size in bytes
int64 l1_cache_size = 8;
- getL2CacheSize() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
L2 cache size in bytes
int64 l2_cache_size = 9;
- getL2CacheSize() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties
-
L2 cache size in bytes
int64 l2_cache_size = 9;
- getL2CacheSize() - 接口 中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
L2 cache size in bytes
int64 l2_cache_size = 9;
- getL3CacheSize() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
L3 cache size in bytes
int64 l3_cache_size = 10;
- getL3CacheSize() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties
-
L3 cache size in bytes
int64 l3_cache_size = 10;
- getL3CacheSize() - 接口 中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
L3 cache size in bytes
int64 l3_cache_size = 10;
- getLabel() - 类 中的方法org.tensorflow.framework.KernelDef.Builder
-
This allows experimental kernels to be registered for an op that
won't be used unless the user specifies a "_kernel" attr with
value matching this.
- getLabel() - 类 中的方法org.tensorflow.framework.KernelDef
-
This allows experimental kernels to be registered for an op that
won't be used unless the user specifies a "_kernel" attr with
value matching this.
- getLabel() - 接口 中的方法org.tensorflow.framework.KernelDefOrBuilder
-
This allows experimental kernels to be registered for an op that
won't be used unless the user specifies a "_kernel" attr with
value matching this.
- getLabel() - 类 中的方法tensorflow.serving.Classification.Class.Builder
-
Label or name of the class.
- getLabel() - 类 中的方法tensorflow.serving.Classification.Class
-
Label or name of the class.
- getLabel() - 接口 中的方法tensorflow.serving.Classification.ClassOrBuilder
-
Label or name of the class.
- getLabelBytes() - 类 中的方法org.tensorflow.framework.KernelDef.Builder
-
This allows experimental kernels to be registered for an op that
won't be used unless the user specifies a "_kernel" attr with
value matching this.
- getLabelBytes() - 类 中的方法org.tensorflow.framework.KernelDef
-
This allows experimental kernels to be registered for an op that
won't be used unless the user specifies a "_kernel" attr with
value matching this.
- getLabelBytes() - 接口 中的方法org.tensorflow.framework.KernelDefOrBuilder
-
This allows experimental kernels to be registered for an op that
won't be used unless the user specifies a "_kernel" attr with
value matching this.
- getLabelBytes() - 类 中的方法tensorflow.serving.Classification.Class.Builder
-
Label or name of the class.
- getLabelBytes() - 类 中的方法tensorflow.serving.Classification.Class
-
Label or name of the class.
- getLabelBytes() - 接口 中的方法tensorflow.serving.Classification.ClassOrBuilder
-
Label or name of the class.
- getLastModified() - 类 中的方法org.tensorflow.framework.DebuggedSourceFile.Builder
-
The timestamp at which the source code file is last modified.
- getLastModified() - 类 中的方法org.tensorflow.framework.DebuggedSourceFile
-
The timestamp at which the source code file is last modified.
- getLastModified() - 接口 中的方法org.tensorflow.framework.DebuggedSourceFileOrBuilder
-
The timestamp at which the source code file is last modified.
- getLatest() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder
-
.tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest latest = 100;
- getLatest() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
-
.tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest latest = 100;
- getLatest() - 接口 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicyOrBuilder
-
.tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest latest = 100;
- getLatestBuilder() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder
-
.tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest latest = 100;
- getLatestOrBuilder() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder
-
.tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest latest = 100;
- getLatestOrBuilder() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
-
.tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest latest = 100;
- getLatestOrBuilder() - 接口 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicyOrBuilder
-
.tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest latest = 100;
- getLayoutOptimizer() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
Optimize tensor layouts (default is ON)
e.g.
- getLayoutOptimizer() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
Optimize tensor layouts (default is ON)
e.g.
- getLayoutOptimizer() - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
Optimize tensor layouts (default is ON)
e.g.
- getLayoutOptimizerValue() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
Optimize tensor layouts (default is ON)
e.g.
- getLayoutOptimizerValue() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
Optimize tensor layouts (default is ON)
e.g.
- getLayoutOptimizerValue() - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
Optimize tensor layouts (default is ON)
e.g.
- getLength() - 类 中的方法org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
int64 length = 2;
- getLength() - 类 中的方法org.tensorflow.framework.TensorSliceProto.Extent
-
int64 length = 2;
- getLength() - 接口 中的方法org.tensorflow.framework.TensorSliceProto.ExtentOrBuilder
-
int64 length = 2;
- getLengthFrames() - 类 中的方法org.tensorflow.framework.Summary.Audio.Builder
-
Length of the audio in frames (samples per channel).
- getLengthFrames() - 类 中的方法org.tensorflow.framework.Summary.Audio
-
Length of the audio in frames (samples per channel).
- getLengthFrames() - 接口 中的方法org.tensorflow.framework.Summary.AudioOrBuilder
-
Length of the audio in frames (samples per channel).
- getLibrary() - 类 中的方法org.tensorflow.framework.GraphDef.Builder
-
EXPERIMENTAL.
- getLibrary() - 类 中的方法org.tensorflow.framework.GraphDef
-
EXPERIMENTAL.
- getLibrary() - 接口 中的方法org.tensorflow.framework.GraphDefOrBuilder
-
EXPERIMENTAL.
- getLibraryBuilder() - 类 中的方法org.tensorflow.framework.GraphDef.Builder
-
EXPERIMENTAL.
- getLibraryOrBuilder() - 类 中的方法org.tensorflow.framework.GraphDef.Builder
-
EXPERIMENTAL.
- getLibraryOrBuilder() - 类 中的方法org.tensorflow.framework.GraphDef
-
EXPERIMENTAL.
- getLibraryOrBuilder() - 接口 中的方法org.tensorflow.framework.GraphDefOrBuilder
-
EXPERIMENTAL.
- getLines(int) - 类 中的方法org.tensorflow.framework.DebuggedSourceFile.Builder
-
Line-by-line content of the source code file.
- getLines(int) - 类 中的方法org.tensorflow.framework.DebuggedSourceFile
-
Line-by-line content of the source code file.
- getLines(int) - 接口 中的方法org.tensorflow.framework.DebuggedSourceFileOrBuilder
-
Line-by-line content of the source code file.
- getLinesBytes(int) - 类 中的方法org.tensorflow.framework.DebuggedSourceFile.Builder
-
Line-by-line content of the source code file.
- getLinesBytes(int) - 类 中的方法org.tensorflow.framework.DebuggedSourceFile
-
Line-by-line content of the source code file.
- getLinesBytes(int) - 接口 中的方法org.tensorflow.framework.DebuggedSourceFileOrBuilder
-
Line-by-line content of the source code file.
- getLinesCount() - 类 中的方法org.tensorflow.framework.DebuggedSourceFile.Builder
-
Line-by-line content of the source code file.
- getLinesCount() - 类 中的方法org.tensorflow.framework.DebuggedSourceFile
-
Line-by-line content of the source code file.
- getLinesCount() - 接口 中的方法org.tensorflow.framework.DebuggedSourceFileOrBuilder
-
Line-by-line content of the source code file.
- getLinesList() - 类 中的方法org.tensorflow.framework.DebuggedSourceFile.Builder
-
Line-by-line content of the source code file.
- getLinesList() - 类 中的方法org.tensorflow.framework.DebuggedSourceFile
-
Line-by-line content of the source code file.
- getLinesList() - 接口 中的方法org.tensorflow.framework.DebuggedSourceFileOrBuilder
-
Line-by-line content of the source code file.
- getLink(int) - 类 中的方法org.tensorflow.framework.LocalLinks.Builder
-
repeated .tensorflow.InterconnectLink link = 1;
- getLink(int) - 类 中的方法org.tensorflow.framework.LocalLinks
-
repeated .tensorflow.InterconnectLink link = 1;
- getLink(int) - 接口 中的方法org.tensorflow.framework.LocalLinksOrBuilder
-
repeated .tensorflow.InterconnectLink link = 1;
- getLinkBuilder(int) - 类 中的方法org.tensorflow.framework.LocalLinks.Builder
-
repeated .tensorflow.InterconnectLink link = 1;
- getLinkBuilderList() - 类 中的方法org.tensorflow.framework.LocalLinks.Builder
-
repeated .tensorflow.InterconnectLink link = 1;
- getLinkCount() - 类 中的方法org.tensorflow.framework.LocalLinks.Builder
-
repeated .tensorflow.InterconnectLink link = 1;
- getLinkCount() - 类 中的方法org.tensorflow.framework.LocalLinks
-
repeated .tensorflow.InterconnectLink link = 1;
- getLinkCount() - 接口 中的方法org.tensorflow.framework.LocalLinksOrBuilder
-
repeated .tensorflow.InterconnectLink link = 1;
- getLinkList() - 类 中的方法org.tensorflow.framework.LocalLinks.Builder
-
repeated .tensorflow.InterconnectLink link = 1;
- getLinkList() - 类 中的方法org.tensorflow.framework.LocalLinks
-
repeated .tensorflow.InterconnectLink link = 1;
- getLinkList() - 接口 中的方法org.tensorflow.framework.LocalLinksOrBuilder
-
repeated .tensorflow.InterconnectLink link = 1;
- getLinkOrBuilder(int) - 类 中的方法org.tensorflow.framework.LocalLinks.Builder
-
repeated .tensorflow.InterconnectLink link = 1;
- getLinkOrBuilder(int) - 类 中的方法org.tensorflow.framework.LocalLinks
-
repeated .tensorflow.InterconnectLink link = 1;
- getLinkOrBuilder(int) - 接口 中的方法org.tensorflow.framework.LocalLinksOrBuilder
-
repeated .tensorflow.InterconnectLink link = 1;
- getLinkOrBuilderList() - 类 中的方法org.tensorflow.framework.LocalLinks.Builder
-
repeated .tensorflow.InterconnectLink link = 1;
- getLinkOrBuilderList() - 类 中的方法org.tensorflow.framework.LocalLinks
-
repeated .tensorflow.InterconnectLink link = 1;
- getLinkOrBuilderList() - 接口 中的方法org.tensorflow.framework.LocalLinksOrBuilder
-
repeated .tensorflow.InterconnectLink link = 1;
- getLinks() - 类 中的方法org.tensorflow.framework.DeviceLocality.Builder
-
Optional local interconnect links to other devices.
- getLinks() - 类 中的方法org.tensorflow.framework.DeviceLocality
-
Optional local interconnect links to other devices.
- getLinks() - 接口 中的方法org.tensorflow.framework.DeviceLocalityOrBuilder
-
Optional local interconnect links to other devices.
- getLinksBuilder() - 类 中的方法org.tensorflow.framework.DeviceLocality.Builder
-
Optional local interconnect links to other devices.
- getLinksOrBuilder() - 类 中的方法org.tensorflow.framework.DeviceLocality.Builder
-
Optional local interconnect links to other devices.
- getLinksOrBuilder() - 类 中的方法org.tensorflow.framework.DeviceLocality
-
Optional local interconnect links to other devices.
- getLinksOrBuilder() - 接口 中的方法org.tensorflow.framework.DeviceLocalityOrBuilder
-
Optional local interconnect links to other devices.
- getList() - 类 中的方法org.tensorflow.framework.AttrValue.Builder
-
any "list(...)"
- getList() - 类 中的方法org.tensorflow.framework.AttrValue
-
any "list(...)"
- getList() - 接口 中的方法org.tensorflow.framework.AttrValueOrBuilder
-
any "list(...)"
- getListBuilder() - 类 中的方法org.tensorflow.framework.AttrValue.Builder
-
any "list(...)"
- getListDevicesMethod() - 类 中的静态方法org.tensorflow.distruntime.MasterServiceGrpc
-
- getListOrBuilder() - 类 中的方法org.tensorflow.framework.AttrValue.Builder
-
any "list(...)"
- getListOrBuilder() - 类 中的方法org.tensorflow.framework.AttrValue
-
any "list(...)"
- getListOrBuilder() - 接口 中的方法org.tensorflow.framework.AttrValueOrBuilder
-
any "list(...)"
- getLiveBytes() - 类 中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The bytes that are not deallocated.
- getLiveBytes() - 类 中的方法org.tensorflow.framework.AllocatorMemoryUsed
-
The bytes that are not deallocated.
- getLiveBytes() - 接口 中的方法org.tensorflow.framework.AllocatorMemoryUsedOrBuilder
-
The bytes that are not deallocated.
- getLocalDevice(int) - 类 中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder
-
repeated .tensorflow.DeviceAttributes local_device = 1;
- getLocalDevice(int) - 类 中的方法org.tensorflow.distruntime.ListDevicesResponse
-
repeated .tensorflow.DeviceAttributes local_device = 1;
- getLocalDevice(int) - 接口 中的方法org.tensorflow.distruntime.ListDevicesResponseOrBuilder
-
repeated .tensorflow.DeviceAttributes local_device = 1;
- getLocalDeviceBuilder(int) - 类 中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder
-
repeated .tensorflow.DeviceAttributes local_device = 1;
- getLocalDeviceBuilderList() - 类 中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder
-
repeated .tensorflow.DeviceAttributes local_device = 1;
- getLocalDeviceCount() - 类 中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder
-
repeated .tensorflow.DeviceAttributes local_device = 1;
- getLocalDeviceCount() - 类 中的方法org.tensorflow.distruntime.ListDevicesResponse
-
repeated .tensorflow.DeviceAttributes local_device = 1;
- getLocalDeviceCount() - 接口 中的方法org.tensorflow.distruntime.ListDevicesResponseOrBuilder
-
repeated .tensorflow.DeviceAttributes local_device = 1;
- getLocalDeviceList() - 类 中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder
-
repeated .tensorflow.DeviceAttributes local_device = 1;
- getLocalDeviceList() - 类 中的方法org.tensorflow.distruntime.ListDevicesResponse
-
repeated .tensorflow.DeviceAttributes local_device = 1;
- getLocalDeviceList() - 接口 中的方法org.tensorflow.distruntime.ListDevicesResponseOrBuilder
-
repeated .tensorflow.DeviceAttributes local_device = 1;
- getLocalDeviceOrBuilder(int) - 类 中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder
-
repeated .tensorflow.DeviceAttributes local_device = 1;
- getLocalDeviceOrBuilder(int) - 类 中的方法org.tensorflow.distruntime.ListDevicesResponse
-
repeated .tensorflow.DeviceAttributes local_device = 1;
- getLocalDeviceOrBuilder(int) - 接口 中的方法org.tensorflow.distruntime.ListDevicesResponseOrBuilder
-
repeated .tensorflow.DeviceAttributes local_device = 1;
- getLocalDeviceOrBuilderList() - 类 中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder
-
repeated .tensorflow.DeviceAttributes local_device = 1;
- getLocalDeviceOrBuilderList() - 类 中的方法org.tensorflow.distruntime.ListDevicesResponse
-
repeated .tensorflow.DeviceAttributes local_device = 1;
- getLocalDeviceOrBuilderList() - 接口 中的方法org.tensorflow.distruntime.ListDevicesResponseOrBuilder
-
repeated .tensorflow.DeviceAttributes local_device = 1;
- getLocality() - 类 中的方法org.tensorflow.framework.DeviceAttributes.Builder
-
Platform-specific data about device that may be useful
for supporting efficient data transfers.
- getLocality() - 类 中的方法org.tensorflow.framework.DeviceAttributes
-
Platform-specific data about device that may be useful
for supporting efficient data transfers.
- getLocality() - 接口 中的方法org.tensorflow.framework.DeviceAttributesOrBuilder
-
Platform-specific data about device that may be useful
for supporting efficient data transfers.
- getLocalityBuilder() - 类 中的方法org.tensorflow.framework.DeviceAttributes.Builder
-
Platform-specific data about device that may be useful
for supporting efficient data transfers.
- getLocalityOrBuilder() - 类 中的方法org.tensorflow.framework.DeviceAttributes.Builder
-
Platform-specific data about device that may be useful
for supporting efficient data transfers.
- getLocalityOrBuilder() - 类 中的方法org.tensorflow.framework.DeviceAttributes
-
Platform-specific data about device that may be useful
for supporting efficient data transfers.
- getLocalityOrBuilder() - 接口 中的方法org.tensorflow.framework.DeviceAttributesOrBuilder
-
Platform-specific data about device that may be useful
for supporting efficient data transfers.
- getLocalName() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
-
A user-provided name for the edge.
- getLocalName() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
-
A user-provided name for the edge.
- getLocalName() - 接口 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReferenceOrBuilder
-
A user-provided name for the edge.
- getLocalNameBytes() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
-
A user-provided name for the edge.
- getLocalNameBytes() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
-
A user-provided name for the edge.
- getLocalNameBytes() - 接口 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReferenceOrBuilder
-
A user-provided name for the edge.
- getLogCollectorConfig() - 类 中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder
-
.tensorflow.serving.LogCollectorConfig log_collector_config = 1;
- getLogCollectorConfig() - 类 中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
-
.tensorflow.serving.LogCollectorConfig log_collector_config = 1;
- getLogCollectorConfig() - 接口 中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfigOrBuilder
-
.tensorflow.serving.LogCollectorConfig log_collector_config = 1;
- getLogCollectorConfigBuilder() - 类 中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder
-
.tensorflow.serving.LogCollectorConfig log_collector_config = 1;
- getLogCollectorConfigOrBuilder() - 类 中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder
-
.tensorflow.serving.LogCollectorConfig log_collector_config = 1;
- getLogCollectorConfigOrBuilder() - 类 中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
-
.tensorflow.serving.LogCollectorConfig log_collector_config = 1;
- getLogCollectorConfigOrBuilder() - 接口 中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfigOrBuilder
-
.tensorflow.serving.LogCollectorConfig log_collector_config = 1;
- getLogDevicePlacement() - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
Whether device placements should be logged.
- getLogDevicePlacement() - 类 中的方法org.tensorflow.framework.ConfigProto
-
Whether device placements should be logged.
- getLogDevicePlacement() - 接口 中的方法org.tensorflow.framework.ConfigProtoOrBuilder
-
Whether device placements should be logged.
- getLoggingConfig() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder
-
Configures logging requests and responses, to the model.
- getLoggingConfig() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
-
Configures logging requests and responses, to the model.
- getLoggingConfig() - 接口 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigOrBuilder
-
Configures logging requests and responses, to the model.
- getLoggingConfigBuilder() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder
-
Configures logging requests and responses, to the model.
- getLoggingConfigOrBuilder() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder
-
Configures logging requests and responses, to the model.
- getLoggingConfigOrBuilder() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
-
Configures logging requests and responses, to the model.
- getLoggingConfigOrBuilder() - 接口 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigOrBuilder
-
Configures logging requests and responses, to the model.
- getLoggingMethod() - 类 中的静态方法org.tensorflow.distruntime.WorkerServiceGrpc
-
- getLogMetadata() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
-
.tensorflow.serving.LogMetadata log_metadata = 1;
- getLogMetadata() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
-
.tensorflow.serving.LogMetadata log_metadata = 1;
- getLogMetadata() - 接口 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLogOrBuilder
-
.tensorflow.serving.LogMetadata log_metadata = 1;
- getLogMetadataBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
-
.tensorflow.serving.LogMetadata log_metadata = 1;
- getLogMetadataOrBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
-
.tensorflow.serving.LogMetadata log_metadata = 1;
- getLogMetadataOrBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
-
.tensorflow.serving.LogMetadata log_metadata = 1;
- getLogMetadataOrBuilder() - 接口 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLogOrBuilder
-
.tensorflow.serving.LogMetadata log_metadata = 1;
- getLogTypeCase() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
-
- getLogTypeCase() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
-
- getLogTypeCase() - 接口 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLogOrBuilder
-
- getLoopEnterNames(int) - 类 中的方法org.tensorflow.framework.WhileContextDef.Builder
-
List of names for enter tensors.
- getLoopEnterNames(int) - 类 中的方法org.tensorflow.framework.WhileContextDef
-
List of names for enter tensors.
- getLoopEnterNames(int) - 接口 中的方法org.tensorflow.framework.WhileContextDefOrBuilder
-
List of names for enter tensors.
- getLoopEnterNamesBytes(int) - 类 中的方法org.tensorflow.framework.WhileContextDef.Builder
-
List of names for enter tensors.
- getLoopEnterNamesBytes(int) - 类 中的方法org.tensorflow.framework.WhileContextDef
-
List of names for enter tensors.
- getLoopEnterNamesBytes(int) - 接口 中的方法org.tensorflow.framework.WhileContextDefOrBuilder
-
List of names for enter tensors.
- getLoopEnterNamesCount() - 类 中的方法org.tensorflow.framework.WhileContextDef.Builder
-
List of names for enter tensors.
- getLoopEnterNamesCount() - 类 中的方法org.tensorflow.framework.WhileContextDef
-
List of names for enter tensors.
- getLoopEnterNamesCount() - 接口 中的方法org.tensorflow.framework.WhileContextDefOrBuilder
-
List of names for enter tensors.
- getLoopEnterNamesList() - 类 中的方法org.tensorflow.framework.WhileContextDef.Builder
-
List of names for enter tensors.
- getLoopEnterNamesList() - 类 中的方法org.tensorflow.framework.WhileContextDef
-
List of names for enter tensors.
- getLoopEnterNamesList() - 接口 中的方法org.tensorflow.framework.WhileContextDefOrBuilder
-
List of names for enter tensors.
- getLoopExitNames(int) - 类 中的方法org.tensorflow.framework.WhileContextDef.Builder
-
List of names for exit tensors.
- getLoopExitNames(int) - 类 中的方法org.tensorflow.framework.WhileContextDef
-
List of names for exit tensors.
- getLoopExitNames(int) - 接口 中的方法org.tensorflow.framework.WhileContextDefOrBuilder
-
List of names for exit tensors.
- getLoopExitNamesBytes(int) - 类 中的方法org.tensorflow.framework.WhileContextDef.Builder
-
List of names for exit tensors.
- getLoopExitNamesBytes(int) - 类 中的方法org.tensorflow.framework.WhileContextDef
-
List of names for exit tensors.
- getLoopExitNamesBytes(int) - 接口 中的方法org.tensorflow.framework.WhileContextDefOrBuilder
-
List of names for exit tensors.
- getLoopExitNamesCount() - 类 中的方法org.tensorflow.framework.WhileContextDef.Builder
-
List of names for exit tensors.
- getLoopExitNamesCount() - 类 中的方法org.tensorflow.framework.WhileContextDef
-
List of names for exit tensors.
- getLoopExitNamesCount() - 接口 中的方法org.tensorflow.framework.WhileContextDefOrBuilder
-
List of names for exit tensors.
- getLoopExitNamesList() - 类 中的方法org.tensorflow.framework.WhileContextDef.Builder
-
List of names for exit tensors.
- getLoopExitNamesList() - 类 中的方法org.tensorflow.framework.WhileContextDef
-
List of names for exit tensors.
- getLoopExitNamesList() - 接口 中的方法org.tensorflow.framework.WhileContextDefOrBuilder
-
List of names for exit tensors.
- getLoopOptimization() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
Loop optimizations (default is ON).
- getLoopOptimization() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
Loop optimizations (default is ON).
- getLoopOptimization() - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
Loop optimizations (default is ON).
- getLoopOptimizationValue() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
Loop optimizations (default is ON).
- getLoopOptimizationValue() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
Loop optimizations (default is ON).
- getLoopOptimizationValue() - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
Loop optimizations (default is ON).
- getMakeCallableMethod() - 类 中的静态方法org.tensorflow.distruntime.MasterServiceGrpc
-
- getMax() - 类 中的方法org.tensorflow.framework.HistogramProto.Builder
-
double max = 2;
- getMax() - 类 中的方法org.tensorflow.framework.HistogramProto
-
double max = 2;
- getMax() - 接口 中的方法org.tensorflow.framework.HistogramProtoOrBuilder
-
double max = 2;
- getMaxByteSize(int) - 类 中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
-
repeated int32 max_byte_size = 2;
- getMaxByteSize(int) - 类 中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo
-
repeated int32 max_byte_size = 2;
- getMaxByteSize(int) - 接口 中的方法org.tensorflow.framework.GraphTransferNodeOutputInfoOrBuilder
-
repeated int32 max_byte_size = 2;
- getMaxByteSizeCount() - 类 中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
-
repeated int32 max_byte_size = 2;
- getMaxByteSizeCount() - 类 中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo
-
repeated int32 max_byte_size = 2;
- getMaxByteSizeCount() - 接口 中的方法org.tensorflow.framework.GraphTransferNodeOutputInfoOrBuilder
-
repeated int32 max_byte_size = 2;
- getMaxByteSizeList() - 类 中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
-
repeated int32 max_byte_size = 2;
- getMaxByteSizeList() - 类 中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo
-
repeated int32 max_byte_size = 2;
- getMaxByteSizeList() - 接口 中的方法org.tensorflow.framework.GraphTransferNodeOutputInfoOrBuilder
-
repeated int32 max_byte_size = 2;
- getMaxFoldedConstantInBytes() - 类 中的方法org.tensorflow.framework.OptimizerOptions.Builder
-
Constant folding optimization replaces tensors whose values can be
predetermined, with constant nodes.
- getMaxFoldedConstantInBytes() - 类 中的方法org.tensorflow.framework.OptimizerOptions
-
Constant folding optimization replaces tensors whose values can be
predetermined, with constant nodes.
- getMaxFoldedConstantInBytes() - 接口 中的方法org.tensorflow.framework.OptimizerOptionsOrBuilder
-
Constant folding optimization replaces tensors whose values can be
predetermined, with constant nodes.
- getMaximumIterationsName() - 类 中的方法org.tensorflow.framework.WhileContextDef.Builder
-
Optional name of the maximum_iterations tensor.
- getMaximumIterationsName() - 类 中的方法org.tensorflow.framework.WhileContextDef
-
Optional name of the maximum_iterations tensor.
- getMaximumIterationsName() - 接口 中的方法org.tensorflow.framework.WhileContextDefOrBuilder
-
Optional name of the maximum_iterations tensor.
- getMaximumIterationsNameBytes() - 类 中的方法org.tensorflow.framework.WhileContextDef.Builder
-
Optional name of the maximum_iterations tensor.
- getMaximumIterationsNameBytes() - 类 中的方法org.tensorflow.framework.WhileContextDef
-
Optional name of the maximum_iterations tensor.
- getMaximumIterationsNameBytes() - 接口 中的方法org.tensorflow.framework.WhileContextDefOrBuilder
-
Optional name of the maximum_iterations tensor.
- getMaxToKeep() - 类 中的方法org.tensorflow.util.SaverDef.Builder
-
Maximum number of checkpoints to keep.
- getMaxToKeep() - 类 中的方法org.tensorflow.util.SaverDef
-
Maximum number of checkpoints to keep.
- getMaxToKeep() - 接口 中的方法org.tensorflow.util.SaverDefOrBuilder
-
Maximum number of checkpoints to keep.
- getMaybeTypeName() - 类 中的方法org.tensorflow.framework.ResourceHandleProto.Builder
-
For debug-only, the name of the type pointed to by this handle, if
available.
- getMaybeTypeName() - 类 中的方法org.tensorflow.framework.ResourceHandleProto
-
For debug-only, the name of the type pointed to by this handle, if
available.
- getMaybeTypeName() - 接口 中的方法org.tensorflow.framework.ResourceHandleProtoOrBuilder
-
For debug-only, the name of the type pointed to by this handle, if
available.
- getMaybeTypeNameBytes() - 类 中的方法org.tensorflow.framework.ResourceHandleProto.Builder
-
For debug-only, the name of the type pointed to by this handle, if
available.
- getMaybeTypeNameBytes() - 类 中的方法org.tensorflow.framework.ResourceHandleProto
-
For debug-only, the name of the type pointed to by this handle, if
available.
- getMaybeTypeNameBytes() - 接口 中的方法org.tensorflow.framework.ResourceHandleProtoOrBuilder
-
For debug-only, the name of the type pointed to by this handle, if
available.
- getMemory(int) - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemory(int) - 类 中的方法org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemory(int) - 接口 中的方法org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryBuilder(int) - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryBuilderList() - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryCount() - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryCount() - 类 中的方法org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryCount() - 接口 中的方法org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryLimit() - 类 中的方法org.tensorflow.framework.DeviceAttributes.Builder
-
Memory capacity of device in bytes.
- getMemoryLimit() - 类 中的方法org.tensorflow.framework.DeviceAttributes
-
Memory capacity of device in bytes.
- getMemoryLimit() - 接口 中的方法org.tensorflow.framework.DeviceAttributesOrBuilder
-
Memory capacity of device in bytes.
- getMemoryLimitMb(int) - 类 中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
-
Per "virtual" device memory limit, in MB.
- getMemoryLimitMb(int) - 类 中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
-
Per "virtual" device memory limit, in MB.
- getMemoryLimitMb(int) - 接口 中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevicesOrBuilder
-
Per "virtual" device memory limit, in MB.
- getMemoryLimitMbCount() - 类 中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
-
Per "virtual" device memory limit, in MB.
- getMemoryLimitMbCount() - 类 中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
-
Per "virtual" device memory limit, in MB.
- getMemoryLimitMbCount() - 接口 中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevicesOrBuilder
-
Per "virtual" device memory limit, in MB.
- getMemoryLimitMbList() - 类 中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
-
Per "virtual" device memory limit, in MB.
- getMemoryLimitMbList() - 类 中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
-
Per "virtual" device memory limit, in MB.
- getMemoryLimitMbList() - 接口 中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevicesOrBuilder
-
Per "virtual" device memory limit, in MB.
- getMemoryList() - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryList() - 类 中的方法org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryList() - 接口 中的方法org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryOptimization() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
Configures memory optimization passes through the meta-optimizer.
- getMemoryOptimization() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
Configures memory optimization passes through the meta-optimizer.
- getMemoryOptimization() - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
Configures memory optimization passes through the meta-optimizer.
- getMemoryOptimizationValue() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
Configures memory optimization passes through the meta-optimizer.
- getMemoryOptimizationValue() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
Configures memory optimization passes through the meta-optimizer.
- getMemoryOptimizationValue() - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
Configures memory optimization passes through the meta-optimizer.
- getMemoryOptimizerTargetNodeNameScope() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
A node name scope for node names which are valid outputs of recompuations.
- getMemoryOptimizerTargetNodeNameScope() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
A node name scope for node names which are valid outputs of recompuations.
- getMemoryOptimizerTargetNodeNameScope() - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
A node name scope for node names which are valid outputs of recompuations.
- getMemoryOptimizerTargetNodeNameScopeBytes() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
A node name scope for node names which are valid outputs of recompuations.
- getMemoryOptimizerTargetNodeNameScopeBytes() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
A node name scope for node names which are valid outputs of recompuations.
- getMemoryOptimizerTargetNodeNameScopeBytes() - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
A node name scope for node names which are valid outputs of recompuations.
- getMemoryOrBuilder(int) - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryOrBuilder(int) - 类 中的方法org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryOrBuilder(int) - 接口 中的方法org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryOrBuilderList() - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryOrBuilderList() - 类 中的方法org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryOrBuilderList() - 接口 中的方法org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemorySize() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Memory size in bytes
int64 memory_size = 12;
- getMemorySize() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties
-
Memory size in bytes
int64 memory_size = 12;
- getMemorySize() - 接口 中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
Memory size in bytes
int64 memory_size = 12;
- getMemoryStats() - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
.tensorflow.MemoryStats memory_stats = 12;
- getMemoryStats() - 类 中的方法org.tensorflow.framework.NodeExecStats
-
.tensorflow.MemoryStats memory_stats = 12;
- getMemoryStats() - 接口 中的方法org.tensorflow.framework.NodeExecStatsOrBuilder
-
.tensorflow.MemoryStats memory_stats = 12;
- getMemoryStatsBuilder() - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
.tensorflow.MemoryStats memory_stats = 12;
- getMemoryStatsOrBuilder() - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
.tensorflow.MemoryStats memory_stats = 12;
- getMemoryStatsOrBuilder() - 类 中的方法org.tensorflow.framework.NodeExecStats
-
.tensorflow.MemoryStats memory_stats = 12;
- getMemoryStatsOrBuilder() - 接口 中的方法org.tensorflow.framework.NodeExecStatsOrBuilder
-
.tensorflow.MemoryStats memory_stats = 12;
- getMemoryTime() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
-
Analytical estimate of the memory access cost of this node, in
microseconds.
- getMemoryTime() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node
-
Analytical estimate of the memory access cost of this node, in
microseconds.
- getMemoryTime() - 接口 中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
Analytical estimate of the memory access cost of this node, in
microseconds.
- getMetadata() - 类 中的方法org.tensorflow.distruntime.RunCallableResponse.Builder
-
Returned metadata if requested in the options.
- getMetadata() - 类 中的方法org.tensorflow.distruntime.RunCallableResponse
-
Returned metadata if requested in the options.
- getMetadata() - 接口 中的方法org.tensorflow.distruntime.RunCallableResponseOrBuilder
-
Returned metadata if requested in the options.
- getMetadata() - 类 中的方法org.tensorflow.distruntime.RunStepResponse.Builder
-
Returned metadata if requested in the options.
- getMetadata() - 类 中的方法org.tensorflow.distruntime.RunStepResponse
-
Returned metadata if requested in the options.
- getMetadata() - 接口 中的方法org.tensorflow.distruntime.RunStepResponseOrBuilder
-
Returned metadata if requested in the options.
- getMetadata() - 类 中的方法org.tensorflow.framework.Summary.Value.Builder
-
Contains metadata on the summary value such as which plugins may use it.
- getMetadata() - 类 中的方法org.tensorflow.framework.Summary.Value
-
Contains metadata on the summary value such as which plugins may use it.
- getMetadata() - 接口 中的方法org.tensorflow.framework.Summary.ValueOrBuilder
-
Contains metadata on the summary value such as which plugins may use it.
- getMetadata() - 类 中的方法org.tensorflow.framework.VariantTensorDataProto.Builder
-
Portions of the object that are not Tensors.
- getMetadata() - 类 中的方法org.tensorflow.framework.VariantTensorDataProto
-
Portions of the object that are not Tensors.
- getMetadata() - 接口 中的方法org.tensorflow.framework.VariantTensorDataProtoOrBuilder
-
Portions of the object that are not Tensors.
- getMetadata() - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder
-
已过时。
- getMetadata() - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
-
已过时。
- getMetadata() - 接口 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponseOrBuilder
-
已过时。
- getMetadata() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder
-
Returned metadata if requested in the options.
- getMetadata() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
-
Returned metadata if requested in the options.
- getMetadata() - 接口 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponseOrBuilder
-
Returned metadata if requested in the options.
- getMetadataBuilder() - 类 中的方法org.tensorflow.distruntime.RunCallableResponse.Builder
-
Returned metadata if requested in the options.
- getMetadataBuilder() - 类 中的方法org.tensorflow.distruntime.RunStepResponse.Builder
-
Returned metadata if requested in the options.
- getMetadataBuilder() - 类 中的方法org.tensorflow.framework.Summary.Value.Builder
-
Contains metadata on the summary value such as which plugins may use it.
- getMetadataBuilder() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder
-
Returned metadata if requested in the options.
- getMetadataCount() - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder
-
- getMetadataCount() - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
-
- getMetadataCount() - 接口 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponseOrBuilder
-
Map of metadata field name to metadata field.
- getMetadataField(int) - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder
-
Metadata fields to get.
- getMetadataField(int) - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
-
Metadata fields to get.
- getMetadataField(int) - 接口 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequestOrBuilder
-
Metadata fields to get.
- getMetadataFieldBytes(int) - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder
-
Metadata fields to get.
- getMetadataFieldBytes(int) - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
-
Metadata fields to get.
- getMetadataFieldBytes(int) - 接口 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequestOrBuilder
-
Metadata fields to get.
- getMetadataFieldCount() - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder
-
Metadata fields to get.
- getMetadataFieldCount() - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
-
Metadata fields to get.
- getMetadataFieldCount() - 接口 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequestOrBuilder
-
Metadata fields to get.
- getMetadataFieldList() - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder
-
Metadata fields to get.
- getMetadataFieldList() - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
-
Metadata fields to get.
- getMetadataFieldList() - 接口 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequestOrBuilder
-
Metadata fields to get.
- getMetadataMap() - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder
-
Map of metadata field name to metadata field.
- getMetadataMap() - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
-
Map of metadata field name to metadata field.
- getMetadataMap() - 接口 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponseOrBuilder
-
Map of metadata field name to metadata field.
- getMetadataOrBuilder() - 类 中的方法org.tensorflow.distruntime.RunCallableResponse.Builder
-
Returned metadata if requested in the options.
- getMetadataOrBuilder() - 类 中的方法org.tensorflow.distruntime.RunCallableResponse
-
Returned metadata if requested in the options.
- getMetadataOrBuilder() - 接口 中的方法org.tensorflow.distruntime.RunCallableResponseOrBuilder
-
Returned metadata if requested in the options.
- getMetadataOrBuilder() - 类 中的方法org.tensorflow.distruntime.RunStepResponse.Builder
-
Returned metadata if requested in the options.
- getMetadataOrBuilder() - 类 中的方法org.tensorflow.distruntime.RunStepResponse
-
Returned metadata if requested in the options.
- getMetadataOrBuilder() - 接口 中的方法org.tensorflow.distruntime.RunStepResponseOrBuilder
-
Returned metadata if requested in the options.
- getMetadataOrBuilder() - 类 中的方法org.tensorflow.framework.Summary.Value.Builder
-
Contains metadata on the summary value such as which plugins may use it.
- getMetadataOrBuilder() - 类 中的方法org.tensorflow.framework.Summary.Value
-
Contains metadata on the summary value such as which plugins may use it.
- getMetadataOrBuilder() - 接口 中的方法org.tensorflow.framework.Summary.ValueOrBuilder
-
Contains metadata on the summary value such as which plugins may use it.
- getMetadataOrBuilder() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder
-
Returned metadata if requested in the options.
- getMetadataOrBuilder() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
-
Returned metadata if requested in the options.
- getMetadataOrBuilder() - 接口 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponseOrBuilder
-
Returned metadata if requested in the options.
- getMetadataOrDefault(String, Any) - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder
-
Map of metadata field name to metadata field.
- getMetadataOrDefault(String, Any) - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
-
Map of metadata field name to metadata field.
- getMetadataOrDefault(String, Any) - 接口 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponseOrBuilder
-
Map of metadata field name to metadata field.
- getMetadataOrThrow(String) - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder
-
Map of metadata field name to metadata field.
- getMetadataOrThrow(String) - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
-
Map of metadata field name to metadata field.
- getMetadataOrThrow(String) - 接口 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponseOrBuilder
-
Map of metadata field name to metadata field.
- getMetaGraphs(int) - 类 中的方法org.tensorflow.framework.SavedModel.Builder
-
One or more MetaGraphs.
- getMetaGraphs(int) - 类 中的方法org.tensorflow.framework.SavedModel
-
One or more MetaGraphs.
- getMetaGraphs(int) - 接口 中的方法org.tensorflow.framework.SavedModelOrBuilder
-
One or more MetaGraphs.
- getMetaGraphsBuilder(int) - 类 中的方法org.tensorflow.framework.SavedModel.Builder
-
One or more MetaGraphs.
- getMetaGraphsBuilderList() - 类 中的方法org.tensorflow.framework.SavedModel.Builder
-
One or more MetaGraphs.
- getMetaGraphsCount() - 类 中的方法org.tensorflow.framework.SavedModel.Builder
-
One or more MetaGraphs.
- getMetaGraphsCount() - 类 中的方法org.tensorflow.framework.SavedModel
-
One or more MetaGraphs.
- getMetaGraphsCount() - 接口 中的方法org.tensorflow.framework.SavedModelOrBuilder
-
One or more MetaGraphs.
- getMetaGraphsList() - 类 中的方法org.tensorflow.framework.SavedModel.Builder
-
One or more MetaGraphs.
- getMetaGraphsList() - 类 中的方法org.tensorflow.framework.SavedModel
-
One or more MetaGraphs.
- getMetaGraphsList() - 接口 中的方法org.tensorflow.framework.SavedModelOrBuilder
-
One or more MetaGraphs.
- getMetaGraphsOrBuilder(int) - 类 中的方法org.tensorflow.framework.SavedModel.Builder
-
One or more MetaGraphs.
- getMetaGraphsOrBuilder(int) - 类 中的方法org.tensorflow.framework.SavedModel
-
One or more MetaGraphs.
- getMetaGraphsOrBuilder(int) - 接口 中的方法org.tensorflow.framework.SavedModelOrBuilder
-
One or more MetaGraphs.
- getMetaGraphsOrBuilderList() - 类 中的方法org.tensorflow.framework.SavedModel.Builder
-
One or more MetaGraphs.
- getMetaGraphsOrBuilderList() - 类 中的方法org.tensorflow.framework.SavedModel
-
One or more MetaGraphs.
- getMetaGraphsOrBuilderList() - 接口 中的方法org.tensorflow.framework.SavedModelOrBuilder
-
One or more MetaGraphs.
- getMetaGraphVersion() - 类 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
User specified Version string.
- getMetaGraphVersion() - 类 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
User specified Version string.
- getMetaGraphVersion() - 接口 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder
-
User specified Version string.
- getMetaGraphVersionBytes() - 类 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
User specified Version string.
- getMetaGraphVersionBytes() - 类 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
User specified Version string.
- getMetaGraphVersionBytes() - 接口 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder
-
User specified Version string.
- getMetaInfoDef() - 类 中的方法org.tensorflow.framework.MetaGraphDef.Builder
-
.tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
- getMetaInfoDef() - 类 中的方法org.tensorflow.framework.MetaGraphDef
-
.tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
- getMetaInfoDef() - 接口 中的方法org.tensorflow.framework.MetaGraphDefOrBuilder
-
.tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
- getMetaInfoDefBuilder() - 类 中的方法org.tensorflow.framework.MetaGraphDef.Builder
-
.tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
- getMetaInfoDefOrBuilder() - 类 中的方法org.tensorflow.framework.MetaGraphDef.Builder
-
.tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
- getMetaInfoDefOrBuilder() - 类 中的方法org.tensorflow.framework.MetaGraphDef
-
.tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
- getMetaInfoDefOrBuilder() - 接口 中的方法org.tensorflow.framework.MetaGraphDefOrBuilder
-
.tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
- getMetaOptimizerIterations() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
Controls how many times we run the optimizers in meta optimizer (default
is once).
- getMetaOptimizerIterations() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
Controls how many times we run the optimizers in meta optimizer (default
is once).
- getMetaOptimizerIterations() - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
Controls how many times we run the optimizers in meta optimizer (default
is once).
- getMetaOptimizerIterationsValue() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
Controls how many times we run the optimizers in meta optimizer (default
is once).
- getMetaOptimizerIterationsValue() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
Controls how many times we run the optimizers in meta optimizer (default
is once).
- getMetaOptimizerIterationsValue() - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
Controls how many times we run the optimizers in meta optimizer (default
is once).
- getMethodName() - 类 中的方法org.tensorflow.framework.SignatureDef.Builder
-
Extensible method_name information enabling third-party users to mark a
SignatureDef as supporting a particular method.
- getMethodName() - 类 中的方法org.tensorflow.framework.SignatureDef
-
Extensible method_name information enabling third-party users to mark a
SignatureDef as supporting a particular method.
- getMethodName() - 接口 中的方法org.tensorflow.framework.SignatureDefOrBuilder
-
Extensible method_name information enabling third-party users to mark a
SignatureDef as supporting a particular method.
- getMethodName() - 类 中的方法tensorflow.serving.Inference.InferenceTask.Builder
-
Signature's method_name.
- getMethodName() - 类 中的方法tensorflow.serving.Inference.InferenceTask
-
Signature's method_name.
- getMethodName() - 接口 中的方法tensorflow.serving.Inference.InferenceTaskOrBuilder
-
Signature's method_name.
- getMethodNameBytes() - 类 中的方法org.tensorflow.framework.SignatureDef.Builder
-
Extensible method_name information enabling third-party users to mark a
SignatureDef as supporting a particular method.
- getMethodNameBytes() - 类 中的方法org.tensorflow.framework.SignatureDef
-
Extensible method_name information enabling third-party users to mark a
SignatureDef as supporting a particular method.
- getMethodNameBytes() - 接口 中的方法org.tensorflow.framework.SignatureDefOrBuilder
-
Extensible method_name information enabling third-party users to mark a
SignatureDef as supporting a particular method.
- getMethodNameBytes() - 类 中的方法tensorflow.serving.Inference.InferenceTask.Builder
-
Signature's method_name.
- getMethodNameBytes() - 类 中的方法tensorflow.serving.Inference.InferenceTask
-
Signature's method_name.
- getMethodNameBytes() - 接口 中的方法tensorflow.serving.Inference.InferenceTaskOrBuilder
-
Signature's method_name.
- getMin() - 类 中的方法org.tensorflow.framework.HistogramProto.Builder
-
double min = 1;
- getMin() - 类 中的方法org.tensorflow.framework.HistogramProto
-
double min = 1;
- getMin() - 接口 中的方法org.tensorflow.framework.HistogramProtoOrBuilder
-
double min = 1;
- getMinConsumer() - 类 中的方法org.tensorflow.framework.VersionDef.Builder
-
Any consumer below this version is not allowed to consume this data.
- getMinConsumer() - 类 中的方法org.tensorflow.framework.VersionDef
-
Any consumer below this version is not allowed to consume this data.
- getMinConsumer() - 接口 中的方法org.tensorflow.framework.VersionDefOrBuilder
-
Any consumer below this version is not allowed to consume this data.
- getMinGraphNodes() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
The minimum number of nodes in a graph to optimizer.
- getMinGraphNodes() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
The minimum number of nodes in a graph to optimizer.
- getMinGraphNodes() - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
The minimum number of nodes in a graph to optimizer.
- getMinimum() - 类 中的方法org.tensorflow.framework.OpDef.AttrDef.Builder
-
int64 minimum = 6;
- getMinimum() - 类 中的方法org.tensorflow.framework.OpDef.AttrDef
-
int64 minimum = 6;
- getMinimum() - 接口 中的方法org.tensorflow.framework.OpDef.AttrDefOrBuilder
-
int64 minimum = 6;
- getModel() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Model (Haswell, K40, ...)
- getModel() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties
-
Model (Haswell, K40, ...)
- getModel() - 接口 中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
Model (Haswell, K40, ...)
- getModelBytes() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Model (Haswell, K40, ...)
- getModelBytes() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties
-
Model (Haswell, K40, ...)
- getModelBytes() - 接口 中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
Model (Haswell, K40, ...)
- getModelConfigList() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder
-
.tensorflow.serving.ModelConfigList model_config_list = 1;
- getModelConfigList() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
-
.tensorflow.serving.ModelConfigList model_config_list = 1;
- getModelConfigList() - 接口 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfigOrBuilder
-
.tensorflow.serving.ModelConfigList model_config_list = 1;
- getModelConfigListBuilder() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder
-
.tensorflow.serving.ModelConfigList model_config_list = 1;
- getModelConfigListOrBuilder() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.Builder
-
.tensorflow.serving.ModelConfigList model_config_list = 1;
- getModelConfigListOrBuilder() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
-
.tensorflow.serving.ModelConfigList model_config_list = 1;
- getModelConfigListOrBuilder() - 接口 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfigOrBuilder
-
.tensorflow.serving.ModelConfigList model_config_list = 1;
- GetModelMetadata - tensorflow.serving中的类
-
- getModelMetadata(GetModelMetadata.GetModelMetadataRequest) - 类 中的方法tensorflow.serving.PredictionServiceGrpc.PredictionServiceBlockingStub
-
GetModelMetadata - provides access to metadata for loaded models.
- getModelMetadata(GetModelMetadata.GetModelMetadataRequest) - 类 中的方法tensorflow.serving.PredictionServiceGrpc.PredictionServiceFutureStub
-
GetModelMetadata - provides access to metadata for loaded models.
- getModelMetadata(GetModelMetadata.GetModelMetadataRequest, StreamObserver<GetModelMetadata.GetModelMetadataResponse>) - 类 中的方法tensorflow.serving.PredictionServiceGrpc.PredictionServiceImplBase
-
GetModelMetadata - provides access to metadata for loaded models.
- getModelMetadata(GetModelMetadata.GetModelMetadataRequest, StreamObserver<GetModelMetadata.GetModelMetadataResponse>) - 类 中的方法tensorflow.serving.PredictionServiceGrpc.PredictionServiceStub
-
GetModelMetadata - provides access to metadata for loaded models.
- GetModelMetadata.GetModelMetadataRequest - tensorflow.serving中的类
-
Protobuf type tensorflow.serving.GetModelMetadataRequest
- GetModelMetadata.GetModelMetadataRequest.Builder - tensorflow.serving中的类
-
Protobuf type tensorflow.serving.GetModelMetadataRequest
- GetModelMetadata.GetModelMetadataRequestOrBuilder - tensorflow.serving中的接口
-
- GetModelMetadata.GetModelMetadataResponse - tensorflow.serving中的类
-
Protobuf type tensorflow.serving.GetModelMetadataResponse
- GetModelMetadata.GetModelMetadataResponse.Builder - tensorflow.serving中的类
-
Protobuf type tensorflow.serving.GetModelMetadataResponse
- GetModelMetadata.GetModelMetadataResponseOrBuilder - tensorflow.serving中的接口
-
- GetModelMetadata.SignatureDefMap - tensorflow.serving中的类
-
Message returned for "signature_def" field.
- GetModelMetadata.SignatureDefMap.Builder - tensorflow.serving中的类
-
Message returned for "signature_def" field.
- GetModelMetadata.SignatureDefMapOrBuilder - tensorflow.serving中的接口
-
- getModelPlatform() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder
-
Type of model (e.g.
- getModelPlatform() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
-
Type of model (e.g.
- getModelPlatform() - 接口 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigOrBuilder
-
Type of model (e.g.
- getModelPlatformBytes() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder
-
Type of model (e.g.
- getModelPlatformBytes() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
-
Type of model (e.g.
- getModelPlatformBytes() - 接口 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigOrBuilder
-
Type of model (e.g.
- getModelSpec() - 类 中的方法tensorflow.serving.Classification.ClassificationRequest.Builder
-
Model Specification.
- getModelSpec() - 类 中的方法tensorflow.serving.Classification.ClassificationRequest
-
Model Specification.
- getModelSpec() - 接口 中的方法tensorflow.serving.Classification.ClassificationRequestOrBuilder
-
Model Specification.
- getModelSpec() - 类 中的方法tensorflow.serving.Classification.ClassificationResponse.Builder
-
Effective Model Specification used for classification.
- getModelSpec() - 类 中的方法tensorflow.serving.Classification.ClassificationResponse
-
Effective Model Specification used for classification.
- getModelSpec() - 接口 中的方法tensorflow.serving.Classification.ClassificationResponseOrBuilder
-
Effective Model Specification used for classification.
- getModelSpec() - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder
-
Model Specification indicating which model we are querying for metadata.
- getModelSpec() - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
-
Model Specification indicating which model we are querying for metadata.
- getModelSpec() - 接口 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequestOrBuilder
-
Model Specification indicating which model we are querying for metadata.
- getModelSpec() - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder
-
Model Specification indicating which model this metadata belongs to.
- getModelSpec() - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
-
Model Specification indicating which model this metadata belongs to.
- getModelSpec() - 接口 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponseOrBuilder
-
Model Specification indicating which model this metadata belongs to.
- getModelSpec() - 类 中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest.Builder
-
Model Specification.
- getModelSpec() - 类 中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest
-
Model Specification.
- getModelSpec() - 接口 中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequestOrBuilder
-
Model Specification.
- getModelSpec() - 类 中的方法tensorflow.serving.Inference.InferenceResult.Builder
-
.tensorflow.serving.ModelSpec model_spec = 1;
- getModelSpec() - 类 中的方法tensorflow.serving.Inference.InferenceResult
-
.tensorflow.serving.ModelSpec model_spec = 1;
- getModelSpec() - 接口 中的方法tensorflow.serving.Inference.InferenceResultOrBuilder
-
.tensorflow.serving.ModelSpec model_spec = 1;
- getModelSpec() - 类 中的方法tensorflow.serving.Inference.InferenceTask.Builder
-
Model Specification.
- getModelSpec() - 类 中的方法tensorflow.serving.Inference.InferenceTask
-
Model Specification.
- getModelSpec() - 接口 中的方法tensorflow.serving.Inference.InferenceTaskOrBuilder
-
Model Specification.
- getModelSpec() - 类 中的方法tensorflow.serving.Logging.LogMetadata.Builder
-
.tensorflow.serving.ModelSpec model_spec = 1;
- getModelSpec() - 类 中的方法tensorflow.serving.Logging.LogMetadata
-
.tensorflow.serving.ModelSpec model_spec = 1;
- getModelSpec() - 接口 中的方法tensorflow.serving.Logging.LogMetadataOrBuilder
-
.tensorflow.serving.ModelSpec model_spec = 1;
- getModelSpec() - 类 中的方法tensorflow.serving.Predict.PredictRequest.Builder
-
Model Specification.
- getModelSpec() - 类 中的方法tensorflow.serving.Predict.PredictRequest
-
Model Specification.
- getModelSpec() - 接口 中的方法tensorflow.serving.Predict.PredictRequestOrBuilder
-
Model Specification.
- getModelSpec() - 类 中的方法tensorflow.serving.Predict.PredictResponse.Builder
-
Effective Model Specification used to process PredictRequest.
- getModelSpec() - 类 中的方法tensorflow.serving.Predict.PredictResponse
-
Effective Model Specification used to process PredictRequest.
- getModelSpec() - 接口 中的方法tensorflow.serving.Predict.PredictResponseOrBuilder
-
Effective Model Specification used to process PredictRequest.
- getModelSpec() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder
-
Model Specification.
- getModelSpec() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest
-
Model Specification.
- getModelSpec() - 接口 中的方法tensorflow.serving.RegressionOuterClass.RegressionRequestOrBuilder
-
Model Specification.
- getModelSpec() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder
-
Effective Model Specification used for regression.
- getModelSpec() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse
-
Effective Model Specification used for regression.
- getModelSpec() - 接口 中的方法tensorflow.serving.RegressionOuterClass.RegressionResponseOrBuilder
-
Effective Model Specification used for regression.
- getModelSpec() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
-
Model Specification.
- getModelSpec() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
-
Model Specification.
- getModelSpec() - 接口 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequestOrBuilder
-
Model Specification.
- getModelSpecBuilder() - 类 中的方法tensorflow.serving.Classification.ClassificationRequest.Builder
-
Model Specification.
- getModelSpecBuilder() - 类 中的方法tensorflow.serving.Classification.ClassificationResponse.Builder
-
Effective Model Specification used for classification.
- getModelSpecBuilder() - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder
-
Model Specification indicating which model we are querying for metadata.
- getModelSpecBuilder() - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder
-
Model Specification indicating which model this metadata belongs to.
- getModelSpecBuilder() - 类 中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest.Builder
-
Model Specification.
- getModelSpecBuilder() - 类 中的方法tensorflow.serving.Inference.InferenceResult.Builder
-
.tensorflow.serving.ModelSpec model_spec = 1;
- getModelSpecBuilder() - 类 中的方法tensorflow.serving.Inference.InferenceTask.Builder
-
Model Specification.
- getModelSpecBuilder() - 类 中的方法tensorflow.serving.Logging.LogMetadata.Builder
-
.tensorflow.serving.ModelSpec model_spec = 1;
- getModelSpecBuilder() - 类 中的方法tensorflow.serving.Predict.PredictRequest.Builder
-
Model Specification.
- getModelSpecBuilder() - 类 中的方法tensorflow.serving.Predict.PredictResponse.Builder
-
Effective Model Specification used to process PredictRequest.
- getModelSpecBuilder() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder
-
Model Specification.
- getModelSpecBuilder() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder
-
Effective Model Specification used for regression.
- getModelSpecBuilder() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
-
Model Specification.
- getModelSpecOrBuilder() - 类 中的方法tensorflow.serving.Classification.ClassificationRequest.Builder
-
Model Specification.
- getModelSpecOrBuilder() - 类 中的方法tensorflow.serving.Classification.ClassificationRequest
-
Model Specification.
- getModelSpecOrBuilder() - 接口 中的方法tensorflow.serving.Classification.ClassificationRequestOrBuilder
-
Model Specification.
- getModelSpecOrBuilder() - 类 中的方法tensorflow.serving.Classification.ClassificationResponse.Builder
-
Effective Model Specification used for classification.
- getModelSpecOrBuilder() - 类 中的方法tensorflow.serving.Classification.ClassificationResponse
-
Effective Model Specification used for classification.
- getModelSpecOrBuilder() - 接口 中的方法tensorflow.serving.Classification.ClassificationResponseOrBuilder
-
Effective Model Specification used for classification.
- getModelSpecOrBuilder() - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest.Builder
-
Model Specification indicating which model we are querying for metadata.
- getModelSpecOrBuilder() - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
-
Model Specification indicating which model we are querying for metadata.
- getModelSpecOrBuilder() - 接口 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequestOrBuilder
-
Model Specification indicating which model we are querying for metadata.
- getModelSpecOrBuilder() - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder
-
Model Specification indicating which model this metadata belongs to.
- getModelSpecOrBuilder() - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
-
Model Specification indicating which model this metadata belongs to.
- getModelSpecOrBuilder() - 接口 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponseOrBuilder
-
Model Specification indicating which model this metadata belongs to.
- getModelSpecOrBuilder() - 类 中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest.Builder
-
Model Specification.
- getModelSpecOrBuilder() - 类 中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest
-
Model Specification.
- getModelSpecOrBuilder() - 接口 中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequestOrBuilder
-
Model Specification.
- getModelSpecOrBuilder() - 类 中的方法tensorflow.serving.Inference.InferenceResult.Builder
-
.tensorflow.serving.ModelSpec model_spec = 1;
- getModelSpecOrBuilder() - 类 中的方法tensorflow.serving.Inference.InferenceResult
-
.tensorflow.serving.ModelSpec model_spec = 1;
- getModelSpecOrBuilder() - 接口 中的方法tensorflow.serving.Inference.InferenceResultOrBuilder
-
.tensorflow.serving.ModelSpec model_spec = 1;
- getModelSpecOrBuilder() - 类 中的方法tensorflow.serving.Inference.InferenceTask.Builder
-
Model Specification.
- getModelSpecOrBuilder() - 类 中的方法tensorflow.serving.Inference.InferenceTask
-
Model Specification.
- getModelSpecOrBuilder() - 接口 中的方法tensorflow.serving.Inference.InferenceTaskOrBuilder
-
Model Specification.
- getModelSpecOrBuilder() - 类 中的方法tensorflow.serving.Logging.LogMetadata.Builder
-
.tensorflow.serving.ModelSpec model_spec = 1;
- getModelSpecOrBuilder() - 类 中的方法tensorflow.serving.Logging.LogMetadata
-
.tensorflow.serving.ModelSpec model_spec = 1;
- getModelSpecOrBuilder() - 接口 中的方法tensorflow.serving.Logging.LogMetadataOrBuilder
-
.tensorflow.serving.ModelSpec model_spec = 1;
- getModelSpecOrBuilder() - 类 中的方法tensorflow.serving.Predict.PredictRequest.Builder
-
Model Specification.
- getModelSpecOrBuilder() - 类 中的方法tensorflow.serving.Predict.PredictRequest
-
Model Specification.
- getModelSpecOrBuilder() - 接口 中的方法tensorflow.serving.Predict.PredictRequestOrBuilder
-
Model Specification.
- getModelSpecOrBuilder() - 类 中的方法tensorflow.serving.Predict.PredictResponse.Builder
-
Effective Model Specification used to process PredictRequest.
- getModelSpecOrBuilder() - 类 中的方法tensorflow.serving.Predict.PredictResponse
-
Effective Model Specification used to process PredictRequest.
- getModelSpecOrBuilder() - 接口 中的方法tensorflow.serving.Predict.PredictResponseOrBuilder
-
Effective Model Specification used to process PredictRequest.
- getModelSpecOrBuilder() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest.Builder
-
Model Specification.
- getModelSpecOrBuilder() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest
-
Model Specification.
- getModelSpecOrBuilder() - 接口 中的方法tensorflow.serving.RegressionOuterClass.RegressionRequestOrBuilder
-
Model Specification.
- getModelSpecOrBuilder() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder
-
Effective Model Specification used for regression.
- getModelSpecOrBuilder() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse
-
Effective Model Specification used for regression.
- getModelSpecOrBuilder() - 接口 中的方法tensorflow.serving.RegressionOuterClass.RegressionResponseOrBuilder
-
Effective Model Specification used for regression.
- getModelSpecOrBuilder() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
-
Model Specification.
- getModelSpecOrBuilder() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
-
Model Specification.
- getModelSpecOrBuilder() - 接口 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequestOrBuilder
-
Model Specification.
- GetModelStatus - tensorflow.serving中的类
-
- getModelStatus(GetModelStatus.GetModelStatusRequest) - 类 中的方法tensorflow.serving.ModelServiceGrpc.ModelServiceBlockingStub
-
Gets status of model.
- getModelStatus(GetModelStatus.GetModelStatusRequest) - 类 中的方法tensorflow.serving.ModelServiceGrpc.ModelServiceFutureStub
-
Gets status of model.
- getModelStatus(GetModelStatus.GetModelStatusRequest, StreamObserver<GetModelStatus.GetModelStatusResponse>) - 类 中的方法tensorflow.serving.ModelServiceGrpc.ModelServiceImplBase
-
Gets status of model.
- getModelStatus(GetModelStatus.GetModelStatusRequest, StreamObserver<GetModelStatus.GetModelStatusResponse>) - 类 中的方法tensorflow.serving.ModelServiceGrpc.ModelServiceStub
-
Gets status of model.
- GetModelStatus.GetModelStatusRequest - tensorflow.serving中的类
-
GetModelStatusRequest contains a ModelSpec indicating the model for which
to get status.
- GetModelStatus.GetModelStatusRequest.Builder - tensorflow.serving中的类
-
GetModelStatusRequest contains a ModelSpec indicating the model for which
to get status.
- GetModelStatus.GetModelStatusRequestOrBuilder - tensorflow.serving中的接口
-
- GetModelStatus.GetModelStatusResponse - tensorflow.serving中的类
-
Response for ModelStatusRequest on successful run.
- GetModelStatus.GetModelStatusResponse.Builder - tensorflow.serving中的类
-
Response for ModelStatusRequest on successful run.
- GetModelStatus.GetModelStatusResponseOrBuilder - tensorflow.serving中的接口
-
- GetModelStatus.ModelVersionStatus - tensorflow.serving中的类
-
Version number, state, and status for a single version of a model.
- GetModelStatus.ModelVersionStatus.Builder - tensorflow.serving中的类
-
Version number, state, and status for a single version of a model.
- GetModelStatus.ModelVersionStatus.State - tensorflow.serving中的枚举
-
States that map to ManagerState enum in
tensorflow_serving/core/servable_state.h
Protobuf enum tensorflow.serving.ModelVersionStatus.State
- GetModelStatus.ModelVersionStatusOrBuilder - tensorflow.serving中的接口
-
- getModelType() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder
-
已过时。
- getModelType() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
-
已过时。
- getModelType() - 接口 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigOrBuilder
-
已过时。
- getModelTypeValue() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder
-
已过时。
- getModelTypeValue() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
-
已过时。
- getModelTypeValue() - 接口 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigOrBuilder
-
已过时。
- getModelVersionPolicy() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder
-
Version policy for the model indicating which version(s) of the model to
load and make available for serving simultaneously.
- getModelVersionPolicy() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
-
Version policy for the model indicating which version(s) of the model to
load and make available for serving simultaneously.
- getModelVersionPolicy() - 接口 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigOrBuilder
-
Version policy for the model indicating which version(s) of the model to
load and make available for serving simultaneously.
- getModelVersionPolicyBuilder() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder
-
Version policy for the model indicating which version(s) of the model to
load and make available for serving simultaneously.
- getModelVersionPolicyOrBuilder() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder
-
Version policy for the model indicating which version(s) of the model to
load and make available for serving simultaneously.
- getModelVersionPolicyOrBuilder() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
-
Version policy for the model indicating which version(s) of the model to
load and make available for serving simultaneously.
- getModelVersionPolicyOrBuilder() - 接口 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigOrBuilder
-
Version policy for the model indicating which version(s) of the model to
load and make available for serving simultaneously.
- getModelVersionStatus(int) - 类 中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder
-
Version number and status information for applicable model version(s).
- getModelVersionStatus(int) - 类 中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
-
Version number and status information for applicable model version(s).
- getModelVersionStatus(int) - 接口 中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponseOrBuilder
-
Version number and status information for applicable model version(s).
- getModelVersionStatusBuilder(int) - 类 中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder
-
Version number and status information for applicable model version(s).
- getModelVersionStatusBuilderList() - 类 中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder
-
Version number and status information for applicable model version(s).
- getModelVersionStatusCount() - 类 中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder
-
Version number and status information for applicable model version(s).
- getModelVersionStatusCount() - 类 中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
-
Version number and status information for applicable model version(s).
- getModelVersionStatusCount() - 接口 中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponseOrBuilder
-
Version number and status information for applicable model version(s).
- getModelVersionStatusList() - 类 中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder
-
Version number and status information for applicable model version(s).
- getModelVersionStatusList() - 类 中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
-
Version number and status information for applicable model version(s).
- getModelVersionStatusList() - 接口 中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponseOrBuilder
-
Version number and status information for applicable model version(s).
- getModelVersionStatusOrBuilder(int) - 类 中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder
-
Version number and status information for applicable model version(s).
- getModelVersionStatusOrBuilder(int) - 类 中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
-
Version number and status information for applicable model version(s).
- getModelVersionStatusOrBuilder(int) - 接口 中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponseOrBuilder
-
Version number and status information for applicable model version(s).
- getModelVersionStatusOrBuilderList() - 类 中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse.Builder
-
Version number and status information for applicable model version(s).
- getModelVersionStatusOrBuilderList() - 类 中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
-
Version number and status information for applicable model version(s).
- getModelVersionStatusOrBuilderList() - 接口 中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponseOrBuilder
-
Version number and status information for applicable model version(s).
- getMultiInferenceLog() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
-
.tensorflow.serving.MultiInferenceLog multi_inference_log = 4;
- getMultiInferenceLog() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
-
.tensorflow.serving.MultiInferenceLog multi_inference_log = 4;
- getMultiInferenceLog() - 接口 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLogOrBuilder
-
.tensorflow.serving.MultiInferenceLog multi_inference_log = 4;
- getMultiInferenceLogBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
-
.tensorflow.serving.MultiInferenceLog multi_inference_log = 4;
- getMultiInferenceLogOrBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
-
.tensorflow.serving.MultiInferenceLog multi_inference_log = 4;
- getMultiInferenceLogOrBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
-
.tensorflow.serving.MultiInferenceLog multi_inference_log = 4;
- getMultiInferenceLogOrBuilder() - 接口 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLogOrBuilder
-
.tensorflow.serving.MultiInferenceLog multi_inference_log = 4;
- getMultiInferenceMethod() - 类 中的静态方法tensorflow.serving.PredictionServiceGrpc
-
- getMutableAttr() - 类 中的方法org.tensorflow.framework.FunctionDef.Builder
-
已过时。
- getMutableAttr() - 类 中的方法org.tensorflow.framework.NameAttrList.Builder
-
已过时。
- getMutableAttr() - 类 中的方法org.tensorflow.framework.NodeDef.Builder
-
已过时。
- getMutableAttrs() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
已过时。
- getMutableCollectionDef() - 类 中的方法org.tensorflow.framework.MetaGraphDef.Builder
-
已过时。
- getMutableDeviceCount() - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
已过时。
- getMutableEnvironment() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
已过时。
- getMutableExternalValues() - 类 中的方法org.tensorflow.framework.ValuesDef.Builder
-
已过时。
- getMutableFeature() - 类 中的方法org.tensorflow.example.Features.Builder
-
已过时。
- getMutableFeatureList() - 类 中的方法org.tensorflow.example.FeatureLists.Builder
-
已过时。
- getMutableFeatureMap() - 类 中的方法org.tensorflow.example.ExampleParserConfiguration.Builder
-
已过时。
- getMutableFeedDevices() - 类 中的方法org.tensorflow.framework.CallableOptions.Builder
-
已过时。
- getMutableFetchDevices() - 类 中的方法org.tensorflow.framework.CallableOptions.Builder
-
已过时。
- getMutableInputs() - 类 中的方法org.tensorflow.framework.SignatureDef.Builder
-
已过时。
- getMutableInputs() - 类 中的方法tensorflow.serving.Predict.PredictRequest.Builder
-
已过时。
- getMutableMetadata() - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse.Builder
-
已过时。
- getMutableOutputs() - 类 中的方法org.tensorflow.framework.SignatureDef.Builder
-
已过时。
- getMutableOutputs() - 类 中的方法tensorflow.serving.Predict.PredictResponse.Builder
-
已过时。
- getMutableParameterMap() - 类 中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
-
已过时。
- getMutablePlatformConfigs() - 类 中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder
-
已过时。
- getMutableRet() - 类 中的方法org.tensorflow.framework.FunctionDef.Builder
-
已过时。
- getMutableSignatureDef() - 类 中的方法org.tensorflow.framework.MetaGraphDef.Builder
-
已过时。
- getMutableSignatureDef() - 类 中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder
-
已过时。
- getMutableTasks() - 类 中的方法org.tensorflow.distruntime.JobDef.Builder
-
已过时。
- getName() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
string name = 1;
- getName() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest
-
string name = 1;
- getName() - 接口 中的方法org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder
-
string name = 1;
- getName() - 类 中的方法org.tensorflow.distruntime.JobDef.Builder
-
The name of this job.
- getName() - 类 中的方法org.tensorflow.distruntime.JobDef
-
The name of this job.
- getName() - 接口 中的方法org.tensorflow.distruntime.JobDefOrBuilder
-
The name of this job.
- getName() - 类 中的方法org.tensorflow.framework.ApiDef.Arg.Builder
-
string name = 1;
- getName() - 类 中的方法org.tensorflow.framework.ApiDef.Arg
-
string name = 1;
- getName() - 接口 中的方法org.tensorflow.framework.ApiDef.ArgOrBuilder
-
string name = 1;
- getName() - 类 中的方法org.tensorflow.framework.ApiDef.Attr.Builder
-
string name = 1;
- getName() - 类 中的方法org.tensorflow.framework.ApiDef.Attr
-
string name = 1;
- getName() - 接口 中的方法org.tensorflow.framework.ApiDef.AttrOrBuilder
-
string name = 1;
- getName() - 类 中的方法org.tensorflow.framework.ApiDef.Endpoint.Builder
-
Name should be either like "CamelCaseName" or
"Package.CamelCaseName".
- getName() - 类 中的方法org.tensorflow.framework.ApiDef.Endpoint
-
Name should be either like "CamelCaseName" or
"Package.CamelCaseName".
- getName() - 接口 中的方法org.tensorflow.framework.ApiDef.EndpointOrBuilder
-
Name should be either like "CamelCaseName" or
"Package.CamelCaseName".
- getName() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
-
The name of the node.
- getName() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node
-
The name of the node.
- getName() - 接口 中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
The name of the node.
- getName() - 类 中的方法org.tensorflow.framework.DeviceAttributes.Builder
-
Fully specified name of the device within a cluster.
- getName() - 类 中的方法org.tensorflow.framework.DeviceAttributes
-
Fully specified name of the device within a cluster.
- getName() - 接口 中的方法org.tensorflow.framework.DeviceAttributesOrBuilder
-
Fully specified name of the device within a cluster.
- getName() - 类 中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
string name = 1;
- getName() - 类 中的方法org.tensorflow.framework.GraphTransferConstNodeInfo
-
string name = 1;
- getName() - 接口 中的方法org.tensorflow.framework.GraphTransferConstNodeInfoOrBuilder
-
string name = 1;
- getName() - 类 中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
-
string name = 1;
- getName() - 类 中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
-
string name = 1;
- getName() - 接口 中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfoOrBuilder
-
string name = 1;
- getName() - 类 中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
-
string name = 1;
- getName() - 类 中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
-
string name = 1;
- getName() - 接口 中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfoOrBuilder
-
string name = 1;
- getName() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
string name = 1;
- getName() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInfo
-
string name = 1;
- getName() - 接口 中的方法org.tensorflow.framework.GraphTransferNodeInfoOrBuilder
-
string name = 1;
- getName() - 类 中的方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
Name of an attr from the Op.
- getName() - 类 中的方法org.tensorflow.framework.KernelDef.AttrConstraint
-
Name of an attr from the Op.
- getName() - 接口 中的方法org.tensorflow.framework.KernelDef.AttrConstraintOrBuilder
-
Name of an attr from the Op.
- getName() - 类 中的方法org.tensorflow.framework.NameAttrList.Builder
-
string name = 1;
- getName() - 类 中的方法org.tensorflow.framework.NameAttrList
-
string name = 1;
- getName() - 接口 中的方法org.tensorflow.framework.NameAttrListOrBuilder
-
string name = 1;
- getName() - 类 中的方法org.tensorflow.framework.NamedTensorProto.Builder
-
Name of the tensor.
- getName() - 类 中的方法org.tensorflow.framework.NamedTensorProto
-
Name of the tensor.
- getName() - 接口 中的方法org.tensorflow.framework.NamedTensorProtoOrBuilder
-
Name of the tensor.
- getName() - 类 中的方法org.tensorflow.framework.NodeDef.Builder
-
The name given to this operator.
- getName() - 类 中的方法org.tensorflow.framework.NodeDef
-
The name given to this operator.
- getName() - 接口 中的方法org.tensorflow.framework.NodeDefOrBuilder
-
The name given to this operator.
- getName() - 类 中的方法org.tensorflow.framework.OpDef.ArgDef.Builder
-
Name for the input/output.
- getName() - 类 中的方法org.tensorflow.framework.OpDef.ArgDef
-
Name for the input/output.
- getName() - 接口 中的方法org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
Name for the input/output.
- getName() - 类 中的方法org.tensorflow.framework.OpDef.AttrDef.Builder
-
A descriptive name for the argument.
- getName() - 类 中的方法org.tensorflow.framework.OpDef.AttrDef
-
A descriptive name for the argument.
- getName() - 接口 中的方法org.tensorflow.framework.OpDef.AttrDefOrBuilder
-
A descriptive name for the argument.
- getName() - 类 中的方法org.tensorflow.framework.OpDef.Builder
-
Op names starting with an underscore are reserved for internal use.
- getName() - 类 中的方法org.tensorflow.framework.OpDef
-
Op names starting with an underscore are reserved for internal use.
- getName() - 接口 中的方法org.tensorflow.framework.OpDefOrBuilder
-
Op names starting with an underscore are reserved for internal use.
- getName() - 类 中的方法org.tensorflow.framework.ResourceHandleProto.Builder
-
Unique name of this resource.
- getName() - 类 中的方法org.tensorflow.framework.ResourceHandleProto
-
Unique name of this resource.
- getName() - 接口 中的方法org.tensorflow.framework.ResourceHandleProtoOrBuilder
-
Unique name of this resource.
- getName() - 类 中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
-
string name = 1;
- getName() - 类 中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
-
string name = 1;
- getName() - 接口 中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizerOrBuilder
-
string name = 1;
- getName() - 类 中的方法org.tensorflow.framework.TensorInfo.Builder
-
For dense `Tensor`s, the name of the tensor in the graph.
- getName() - 类 中的方法org.tensorflow.framework.TensorInfo
-
For dense `Tensor`s, the name of the tensor in the graph.
- getName() - 接口 中的方法org.tensorflow.framework.TensorInfoOrBuilder
-
For dense `Tensor`s, the name of the tensor in the graph.
- getName() - 类 中的方法org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
Optional name of the tensor dimension.
- getName() - 类 中的方法org.tensorflow.framework.TensorShapeProto.Dim
-
Optional name of the tensor dimension.
- getName() - 接口 中的方法org.tensorflow.framework.TensorShapeProto.DimOrBuilder
-
Optional name of the tensor dimension.
- getName() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
-
A name for the Tensor.
- getName() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
-
A name for the Tensor.
- getName() - 接口 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensorOrBuilder
-
A name for the Tensor.
- getName() - 类 中的方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder
-
string name = 1;
- getName() - 类 中的方法tensorflow.DevicePropertiesProtos.NamedDevice
-
string name = 1;
- getName() - 接口 中的方法tensorflow.DevicePropertiesProtos.NamedDeviceOrBuilder
-
string name = 1;
- getName() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
string name = 2;
- getName() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation
-
string name = 2;
- getName() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder
-
string name = 2;
- getName() - 类 中的方法tensorflow.serving.Model.ModelSpec.Builder
-
Required servable name.
- getName() - 类 中的方法tensorflow.serving.Model.ModelSpec
-
Required servable name.
- getName() - 接口 中的方法tensorflow.serving.Model.ModelSpecOrBuilder
-
Required servable name.
- getName() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder
-
Name of the model.
- getName() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
-
Name of the model.
- getName() - 接口 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigOrBuilder
-
Name of the model.
- getNameBytes() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
string name = 1;
- getNameBytes() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest
-
string name = 1;
- getNameBytes() - 接口 中的方法org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder
-
string name = 1;
- getNameBytes() - 类 中的方法org.tensorflow.distruntime.JobDef.Builder
-
The name of this job.
- getNameBytes() - 类 中的方法org.tensorflow.distruntime.JobDef
-
The name of this job.
- getNameBytes() - 接口 中的方法org.tensorflow.distruntime.JobDefOrBuilder
-
The name of this job.
- getNameBytes() - 类 中的方法org.tensorflow.framework.ApiDef.Arg.Builder
-
string name = 1;
- getNameBytes() - 类 中的方法org.tensorflow.framework.ApiDef.Arg
-
string name = 1;
- getNameBytes() - 接口 中的方法org.tensorflow.framework.ApiDef.ArgOrBuilder
-
string name = 1;
- getNameBytes() - 类 中的方法org.tensorflow.framework.ApiDef.Attr.Builder
-
string name = 1;
- getNameBytes() - 类 中的方法org.tensorflow.framework.ApiDef.Attr
-
string name = 1;
- getNameBytes() - 接口 中的方法org.tensorflow.framework.ApiDef.AttrOrBuilder
-
string name = 1;
- getNameBytes() - 类 中的方法org.tensorflow.framework.ApiDef.Endpoint.Builder
-
Name should be either like "CamelCaseName" or
"Package.CamelCaseName".
- getNameBytes() - 类 中的方法org.tensorflow.framework.ApiDef.Endpoint
-
Name should be either like "CamelCaseName" or
"Package.CamelCaseName".
- getNameBytes() - 接口 中的方法org.tensorflow.framework.ApiDef.EndpointOrBuilder
-
Name should be either like "CamelCaseName" or
"Package.CamelCaseName".
- getNameBytes() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
-
The name of the node.
- getNameBytes() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node
-
The name of the node.
- getNameBytes() - 接口 中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
The name of the node.
- getNameBytes() - 类 中的方法org.tensorflow.framework.DeviceAttributes.Builder
-
Fully specified name of the device within a cluster.
- getNameBytes() - 类 中的方法org.tensorflow.framework.DeviceAttributes
-
Fully specified name of the device within a cluster.
- getNameBytes() - 接口 中的方法org.tensorflow.framework.DeviceAttributesOrBuilder
-
Fully specified name of the device within a cluster.
- getNameBytes() - 类 中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
string name = 1;
- getNameBytes() - 类 中的方法org.tensorflow.framework.GraphTransferConstNodeInfo
-
string name = 1;
- getNameBytes() - 接口 中的方法org.tensorflow.framework.GraphTransferConstNodeInfoOrBuilder
-
string name = 1;
- getNameBytes() - 类 中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
-
string name = 1;
- getNameBytes() - 类 中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
-
string name = 1;
- getNameBytes() - 接口 中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfoOrBuilder
-
string name = 1;
- getNameBytes() - 类 中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
-
string name = 1;
- getNameBytes() - 类 中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
-
string name = 1;
- getNameBytes() - 接口 中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfoOrBuilder
-
string name = 1;
- getNameBytes() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
string name = 1;
- getNameBytes() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInfo
-
string name = 1;
- getNameBytes() - 接口 中的方法org.tensorflow.framework.GraphTransferNodeInfoOrBuilder
-
string name = 1;
- getNameBytes() - 类 中的方法org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
Name of an attr from the Op.
- getNameBytes() - 类 中的方法org.tensorflow.framework.KernelDef.AttrConstraint
-
Name of an attr from the Op.
- getNameBytes() - 接口 中的方法org.tensorflow.framework.KernelDef.AttrConstraintOrBuilder
-
Name of an attr from the Op.
- getNameBytes() - 类 中的方法org.tensorflow.framework.NameAttrList.Builder
-
string name = 1;
- getNameBytes() - 类 中的方法org.tensorflow.framework.NameAttrList
-
string name = 1;
- getNameBytes() - 接口 中的方法org.tensorflow.framework.NameAttrListOrBuilder
-
string name = 1;
- getNameBytes() - 类 中的方法org.tensorflow.framework.NamedTensorProto.Builder
-
Name of the tensor.
- getNameBytes() - 类 中的方法org.tensorflow.framework.NamedTensorProto
-
Name of the tensor.
- getNameBytes() - 接口 中的方法org.tensorflow.framework.NamedTensorProtoOrBuilder
-
Name of the tensor.
- getNameBytes() - 类 中的方法org.tensorflow.framework.NodeDef.Builder
-
The name given to this operator.
- getNameBytes() - 类 中的方法org.tensorflow.framework.NodeDef
-
The name given to this operator.
- getNameBytes() - 接口 中的方法org.tensorflow.framework.NodeDefOrBuilder
-
The name given to this operator.
- getNameBytes() - 类 中的方法org.tensorflow.framework.OpDef.ArgDef.Builder
-
Name for the input/output.
- getNameBytes() - 类 中的方法org.tensorflow.framework.OpDef.ArgDef
-
Name for the input/output.
- getNameBytes() - 接口 中的方法org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
Name for the input/output.
- getNameBytes() - 类 中的方法org.tensorflow.framework.OpDef.AttrDef.Builder
-
A descriptive name for the argument.
- getNameBytes() - 类 中的方法org.tensorflow.framework.OpDef.AttrDef
-
A descriptive name for the argument.
- getNameBytes() - 接口 中的方法org.tensorflow.framework.OpDef.AttrDefOrBuilder
-
A descriptive name for the argument.
- getNameBytes() - 类 中的方法org.tensorflow.framework.OpDef.Builder
-
Op names starting with an underscore are reserved for internal use.
- getNameBytes() - 类 中的方法org.tensorflow.framework.OpDef
-
Op names starting with an underscore are reserved for internal use.
- getNameBytes() - 接口 中的方法org.tensorflow.framework.OpDefOrBuilder
-
Op names starting with an underscore are reserved for internal use.
- getNameBytes() - 类 中的方法org.tensorflow.framework.ResourceHandleProto.Builder
-
Unique name of this resource.
- getNameBytes() - 类 中的方法org.tensorflow.framework.ResourceHandleProto
-
Unique name of this resource.
- getNameBytes() - 接口 中的方法org.tensorflow.framework.ResourceHandleProtoOrBuilder
-
Unique name of this resource.
- getNameBytes() - 类 中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
-
string name = 1;
- getNameBytes() - 类 中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
-
string name = 1;
- getNameBytes() - 接口 中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizerOrBuilder
-
string name = 1;
- getNameBytes() - 类 中的方法org.tensorflow.framework.TensorInfo.Builder
-
For dense `Tensor`s, the name of the tensor in the graph.
- getNameBytes() - 类 中的方法org.tensorflow.framework.TensorInfo
-
For dense `Tensor`s, the name of the tensor in the graph.
- getNameBytes() - 接口 中的方法org.tensorflow.framework.TensorInfoOrBuilder
-
For dense `Tensor`s, the name of the tensor in the graph.
- getNameBytes() - 类 中的方法org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
Optional name of the tensor dimension.
- getNameBytes() - 类 中的方法org.tensorflow.framework.TensorShapeProto.Dim
-
Optional name of the tensor dimension.
- getNameBytes() - 接口 中的方法org.tensorflow.framework.TensorShapeProto.DimOrBuilder
-
Optional name of the tensor dimension.
- getNameBytes() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
-
A name for the Tensor.
- getNameBytes() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
-
A name for the Tensor.
- getNameBytes() - 接口 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensorOrBuilder
-
A name for the Tensor.
- getNameBytes() - 类 中的方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder
-
string name = 1;
- getNameBytes() - 类 中的方法tensorflow.DevicePropertiesProtos.NamedDevice
-
string name = 1;
- getNameBytes() - 接口 中的方法tensorflow.DevicePropertiesProtos.NamedDeviceOrBuilder
-
string name = 1;
- getNameBytes() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation.Builder
-
string name = 2;
- getNameBytes() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation
-
string name = 2;
- getNameBytes() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.OperationOrBuilder
-
string name = 2;
- getNameBytes() - 类 中的方法tensorflow.serving.Model.ModelSpec.Builder
-
Required servable name.
- getNameBytes() - 类 中的方法tensorflow.serving.Model.ModelSpec
-
Required servable name.
- getNameBytes() - 接口 中的方法tensorflow.serving.Model.ModelSpecOrBuilder
-
Required servable name.
- getNameBytes() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig.Builder
-
Name of the model.
- getNameBytes() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
-
Name of the model.
- getNameBytes() - 接口 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigOrBuilder
-
Name of the model.
- getNestedContexts(int) - 类 中的方法org.tensorflow.framework.CondContextDef.Builder
-
Contexts contained inside this context (e.g. nested conds).
- getNestedContexts(int) - 类 中的方法org.tensorflow.framework.CondContextDef
-
Contexts contained inside this context (e.g. nested conds).
- getNestedContexts(int) - 接口 中的方法org.tensorflow.framework.CondContextDefOrBuilder
-
Contexts contained inside this context (e.g. nested conds).
- getNestedContexts(int) - 类 中的方法org.tensorflow.framework.WhileContextDef.Builder
-
Contexts contained inside this context (e.g. nested whiles).
- getNestedContexts(int) - 类 中的方法org.tensorflow.framework.WhileContextDef
-
Contexts contained inside this context (e.g. nested whiles).
- getNestedContexts(int) - 接口 中的方法org.tensorflow.framework.WhileContextDefOrBuilder
-
Contexts contained inside this context (e.g. nested whiles).
- getNestedContextsBuilder(int) - 类 中的方法org.tensorflow.framework.CondContextDef.Builder
-
Contexts contained inside this context (e.g. nested conds).
- getNestedContextsBuilder(int) - 类 中的方法org.tensorflow.framework.WhileContextDef.Builder
-
Contexts contained inside this context (e.g. nested whiles).
- getNestedContextsBuilderList() - 类 中的方法org.tensorflow.framework.CondContextDef.Builder
-
Contexts contained inside this context (e.g. nested conds).
- getNestedContextsBuilderList() - 类 中的方法org.tensorflow.framework.WhileContextDef.Builder
-
Contexts contained inside this context (e.g. nested whiles).
- getNestedContextsCount() - 类 中的方法org.tensorflow.framework.CondContextDef.Builder
-
Contexts contained inside this context (e.g. nested conds).
- getNestedContextsCount() - 类 中的方法org.tensorflow.framework.CondContextDef
-
Contexts contained inside this context (e.g. nested conds).
- getNestedContextsCount() - 接口 中的方法org.tensorflow.framework.CondContextDefOrBuilder
-
Contexts contained inside this context (e.g. nested conds).
- getNestedContextsCount() - 类 中的方法org.tensorflow.framework.WhileContextDef.Builder
-
Contexts contained inside this context (e.g. nested whiles).
- getNestedContextsCount() - 类 中的方法org.tensorflow.framework.WhileContextDef
-
Contexts contained inside this context (e.g. nested whiles).
- getNestedContextsCount() - 接口 中的方法org.tensorflow.framework.WhileContextDefOrBuilder
-
Contexts contained inside this context (e.g. nested whiles).
- getNestedContextsList() - 类 中的方法org.tensorflow.framework.CondContextDef.Builder
-
Contexts contained inside this context (e.g. nested conds).
- getNestedContextsList() - 类 中的方法org.tensorflow.framework.CondContextDef
-
Contexts contained inside this context (e.g. nested conds).
- getNestedContextsList() - 接口 中的方法org.tensorflow.framework.CondContextDefOrBuilder
-
Contexts contained inside this context (e.g. nested conds).
- getNestedContextsList() - 类 中的方法org.tensorflow.framework.WhileContextDef.Builder
-
Contexts contained inside this context (e.g. nested whiles).
- getNestedContextsList() - 类 中的方法org.tensorflow.framework.WhileContextDef
-
Contexts contained inside this context (e.g. nested whiles).
- getNestedContextsList() - 接口 中的方法org.tensorflow.framework.WhileContextDefOrBuilder
-
Contexts contained inside this context (e.g. nested whiles).
- getNestedContextsOrBuilder(int) - 类 中的方法org.tensorflow.framework.CondContextDef.Builder
-
Contexts contained inside this context (e.g. nested conds).
- getNestedContextsOrBuilder(int) - 类 中的方法org.tensorflow.framework.CondContextDef
-
Contexts contained inside this context (e.g. nested conds).
- getNestedContextsOrBuilder(int) - 接口 中的方法org.tensorflow.framework.CondContextDefOrBuilder
-
Contexts contained inside this context (e.g. nested conds).
- getNestedContextsOrBuilder(int) - 类 中的方法org.tensorflow.framework.WhileContextDef.Builder
-
Contexts contained inside this context (e.g. nested whiles).
- getNestedContextsOrBuilder(int) - 类 中的方法org.tensorflow.framework.WhileContextDef
-
Contexts contained inside this context (e.g. nested whiles).
- getNestedContextsOrBuilder(int) - 接口 中的方法org.tensorflow.framework.WhileContextDefOrBuilder
-
Contexts contained inside this context (e.g. nested whiles).
- getNestedContextsOrBuilderList() - 类 中的方法org.tensorflow.framework.CondContextDef.Builder
-
Contexts contained inside this context (e.g. nested conds).
- getNestedContextsOrBuilderList() - 类 中的方法org.tensorflow.framework.CondContextDef
-
Contexts contained inside this context (e.g. nested conds).
- getNestedContextsOrBuilderList() - 接口 中的方法org.tensorflow.framework.CondContextDefOrBuilder
-
Contexts contained inside this context (e.g. nested conds).
- getNestedContextsOrBuilderList() - 类 中的方法org.tensorflow.framework.WhileContextDef.Builder
-
Contexts contained inside this context (e.g. nested whiles).
- getNestedContextsOrBuilderList() - 类 中的方法org.tensorflow.framework.WhileContextDef
-
Contexts contained inside this context (e.g. nested whiles).
- getNestedContextsOrBuilderList() - 接口 中的方法org.tensorflow.framework.WhileContextDefOrBuilder
-
Contexts contained inside this context (e.g. nested whiles).
- getNewGraphVersion() - 类 中的方法org.tensorflow.distruntime.ExtendSessionResponse.Builder
-
The new version number for the extended graph, to be used in the next call
to ExtendSession.
- getNewGraphVersion() - 类 中的方法org.tensorflow.distruntime.ExtendSessionResponse
-
The new version number for the extended graph, to be used in the next call
to ExtendSession.
- getNewGraphVersion() - 接口 中的方法org.tensorflow.distruntime.ExtendSessionResponseOrBuilder
-
The new version number for the extended graph, to be used in the next call
to ExtendSession.
- getNextStepId() - 类 中的方法org.tensorflow.distruntime.StepSequence.Builder
-
int64 next_step_id = 2;
- getNextStepId() - 类 中的方法org.tensorflow.distruntime.StepSequence
-
int64 next_step_id = 2;
- getNextStepId() - 接口 中的方法org.tensorflow.distruntime.StepSequenceOrBuilder
-
int64 next_step_id = 2;
- getNode(int) - 类 中的方法org.tensorflow.framework.CostGraphDef.Builder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNode(int) - 类 中的方法org.tensorflow.framework.CostGraphDef
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNode(int) - 接口 中的方法org.tensorflow.framework.CostGraphDefOrBuilder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNode(int) - 类 中的方法org.tensorflow.framework.GraphDef.Builder
-
repeated .tensorflow.NodeDef node = 1;
- getNode(int) - 类 中的方法org.tensorflow.framework.GraphDef
-
repeated .tensorflow.NodeDef node = 1;
- getNode(int) - 接口 中的方法org.tensorflow.framework.GraphDefOrBuilder
-
repeated .tensorflow.NodeDef node = 1;
- getNodeBuilder(int) - 类 中的方法org.tensorflow.framework.CostGraphDef.Builder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeBuilder(int) - 类 中的方法org.tensorflow.framework.GraphDef.Builder
-
repeated .tensorflow.NodeDef node = 1;
- getNodeBuilderList() - 类 中的方法org.tensorflow.framework.CostGraphDef.Builder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeBuilderList() - 类 中的方法org.tensorflow.framework.GraphDef.Builder
-
repeated .tensorflow.NodeDef node = 1;
- getNodeCount() - 类 中的方法org.tensorflow.framework.CostGraphDef.Builder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeCount() - 类 中的方法org.tensorflow.framework.CostGraphDef
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeCount() - 接口 中的方法org.tensorflow.framework.CostGraphDefOrBuilder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeCount() - 类 中的方法org.tensorflow.framework.GraphDef.Builder
-
repeated .tensorflow.NodeDef node = 1;
- getNodeCount() - 类 中的方法org.tensorflow.framework.GraphDef
-
repeated .tensorflow.NodeDef node = 1;
- getNodeCount() - 接口 中的方法org.tensorflow.framework.GraphDefOrBuilder
-
repeated .tensorflow.NodeDef node = 1;
- getNodeDef(int) - 类 中的方法org.tensorflow.framework.FunctionDef.Builder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDef(int) - 类 中的方法org.tensorflow.framework.FunctionDef
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDef(int) - 接口 中的方法org.tensorflow.framework.FunctionDefOrBuilder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefBuilder(int) - 类 中的方法org.tensorflow.framework.FunctionDef.Builder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefBuilderList() - 类 中的方法org.tensorflow.framework.FunctionDef.Builder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefCount() - 类 中的方法org.tensorflow.framework.FunctionDef.Builder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefCount() - 类 中的方法org.tensorflow.framework.FunctionDef
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefCount() - 接口 中的方法org.tensorflow.framework.FunctionDefOrBuilder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefList() - 类 中的方法org.tensorflow.framework.FunctionDef.Builder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefList() - 类 中的方法org.tensorflow.framework.FunctionDef
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefList() - 接口 中的方法org.tensorflow.framework.FunctionDefOrBuilder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefOrBuilder(int) - 类 中的方法org.tensorflow.framework.FunctionDef.Builder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefOrBuilder(int) - 类 中的方法org.tensorflow.framework.FunctionDef
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefOrBuilder(int) - 接口 中的方法org.tensorflow.framework.FunctionDefOrBuilder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefOrBuilderList() - 类 中的方法org.tensorflow.framework.FunctionDef.Builder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefOrBuilderList() - 类 中的方法org.tensorflow.framework.FunctionDef
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefOrBuilderList() - 接口 中的方法org.tensorflow.framework.FunctionDefOrBuilder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeId() - 类 中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
int32 node_id = 2;
- getNodeId() - 类 中的方法org.tensorflow.framework.GraphTransferConstNodeInfo
-
int32 node_id = 2;
- getNodeId() - 接口 中的方法org.tensorflow.framework.GraphTransferConstNodeInfoOrBuilder
-
int32 node_id = 2;
- getNodeId() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
int32 node_id = 2;
- getNodeId() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInfo
-
int32 node_id = 2;
- getNodeId() - 接口 中的方法org.tensorflow.framework.GraphTransferNodeInfoOrBuilder
-
int32 node_id = 2;
- getNodeId() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInput.Builder
-
int32 node_id = 1;
- getNodeId() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInput
-
int32 node_id = 1;
- getNodeId() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
-
int32 node_id = 1;
- getNodeId() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInputInfo
-
int32 node_id = 1;
- getNodeId() - 接口 中的方法org.tensorflow.framework.GraphTransferNodeInputInfoOrBuilder
-
int32 node_id = 1;
- getNodeId() - 接口 中的方法org.tensorflow.framework.GraphTransferNodeInputOrBuilder
-
int32 node_id = 1;
- getNodeId() - 类 中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
-
int32 node_id = 1;
- getNodeId() - 类 中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo
-
int32 node_id = 1;
- getNodeId() - 接口 中的方法org.tensorflow.framework.GraphTransferNodeOutputInfoOrBuilder
-
int32 node_id = 1;
- getNodeId() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
-
An index into `CheckpointableObjectGraph.nodes`, indicating the object
being referenced.
- getNodeId() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
-
An index into `CheckpointableObjectGraph.nodes`, indicating the object
being referenced.
- getNodeId() - 接口 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReferenceOrBuilder
-
An index into `CheckpointableObjectGraph.nodes`, indicating the object
being referenced.
- getNodeInfo(int) - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
- getNodeInfo(int) - 类 中的方法org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
- getNodeInfo(int) - 接口 中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
- getNodeInfoBuilder(int) - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
- getNodeInfoBuilderList() - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
- getNodeInfoCount() - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
- getNodeInfoCount() - 类 中的方法org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
- getNodeInfoCount() - 接口 中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
- getNodeInfoList() - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
- getNodeInfoList() - 类 中的方法org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
- getNodeInfoList() - 接口 中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
- getNodeInfoOrBuilder(int) - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
- getNodeInfoOrBuilder(int) - 类 中的方法org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
- getNodeInfoOrBuilder(int) - 接口 中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
- getNodeInfoOrBuilderList() - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
- getNodeInfoOrBuilderList() - 类 中的方法org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
- getNodeInfoOrBuilderList() - 接口 中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
- getNodeInput(int) - 类 中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
- getNodeInput(int) - 类 中的方法org.tensorflow.framework.GraphTransferNodeInputInfo
-
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
- getNodeInput(int) - 接口 中的方法org.tensorflow.framework.GraphTransferNodeInputInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
- getNodeInputBuilder(int) - 类 中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
- getNodeInputBuilderList() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
- getNodeInputCount() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
- getNodeInputCount() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInputInfo
-
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
- getNodeInputCount() - 接口 中的方法org.tensorflow.framework.GraphTransferNodeInputInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
- getNodeInputInfo(int) - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
- getNodeInputInfo(int) - 类 中的方法org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
- getNodeInputInfo(int) - 接口 中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
- getNodeInputInfoBuilder(int) - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
- getNodeInputInfoBuilderList() - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
- getNodeInputInfoCount() - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
- getNodeInputInfoCount() - 类 中的方法org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
- getNodeInputInfoCount() - 接口 中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
- getNodeInputInfoList() - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
- getNodeInputInfoList() - 类 中的方法org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
- getNodeInputInfoList() - 接口 中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
- getNodeInputInfoOrBuilder(int) - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
- getNodeInputInfoOrBuilder(int) - 类 中的方法org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
- getNodeInputInfoOrBuilder(int) - 接口 中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
- getNodeInputInfoOrBuilderList() - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
- getNodeInputInfoOrBuilderList() - 类 中的方法org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
- getNodeInputInfoOrBuilderList() - 接口 中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
- getNodeInputList() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
- getNodeInputList() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInputInfo
-
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
- getNodeInputList() - 接口 中的方法org.tensorflow.framework.GraphTransferNodeInputInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
- getNodeInputOrBuilder(int) - 类 中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
- getNodeInputOrBuilder(int) - 类 中的方法org.tensorflow.framework.GraphTransferNodeInputInfo
-
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
- getNodeInputOrBuilder(int) - 接口 中的方法org.tensorflow.framework.GraphTransferNodeInputInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
- getNodeInputOrBuilderList() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
-
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
- getNodeInputOrBuilderList() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInputInfo
-
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
- getNodeInputOrBuilderList() - 接口 中的方法org.tensorflow.framework.GraphTransferNodeInputInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
- getNodeList() - 类 中的方法org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.NodeList node_list = 1;
- getNodeList() - 类 中的方法org.tensorflow.framework.CollectionDef
-
.tensorflow.CollectionDef.NodeList node_list = 1;
- getNodeList() - 接口 中的方法org.tensorflow.framework.CollectionDefOrBuilder
-
.tensorflow.CollectionDef.NodeList node_list = 1;
- getNodeList() - 类 中的方法org.tensorflow.framework.CostGraphDef.Builder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeList() - 类 中的方法org.tensorflow.framework.CostGraphDef
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeList() - 接口 中的方法org.tensorflow.framework.CostGraphDefOrBuilder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeList() - 类 中的方法org.tensorflow.framework.GraphDef.Builder
-
repeated .tensorflow.NodeDef node = 1;
- getNodeList() - 类 中的方法org.tensorflow.framework.GraphDef
-
repeated .tensorflow.NodeDef node = 1;
- getNodeList() - 接口 中的方法org.tensorflow.framework.GraphDefOrBuilder
-
repeated .tensorflow.NodeDef node = 1;
- getNodeListBuilder() - 类 中的方法org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.NodeList node_list = 1;
- getNodeListOrBuilder() - 类 中的方法org.tensorflow.framework.CollectionDef.Builder
-
.tensorflow.CollectionDef.NodeList node_list = 1;
- getNodeListOrBuilder() - 类 中的方法org.tensorflow.framework.CollectionDef
-
.tensorflow.CollectionDef.NodeList node_list = 1;
- getNodeListOrBuilder() - 接口 中的方法org.tensorflow.framework.CollectionDefOrBuilder
-
.tensorflow.CollectionDef.NodeList node_list = 1;
- getNodeName() - 类 中的方法org.tensorflow.framework.DebugTensorWatch.Builder
-
Name of the node to watch.
- getNodeName() - 类 中的方法org.tensorflow.framework.DebugTensorWatch
-
Name of the node to watch.
- getNodeName() - 接口 中的方法org.tensorflow.framework.DebugTensorWatchOrBuilder
-
Name of the node to watch.
- getNodeName() - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
TODO(tucker): Use some more compact form of node identity than
the full string name.
- getNodeName() - 类 中的方法org.tensorflow.framework.NodeExecStats
-
TODO(tucker): Use some more compact form of node identity than
the full string name.
- getNodeName() - 接口 中的方法org.tensorflow.framework.NodeExecStatsOrBuilder
-
TODO(tucker): Use some more compact form of node identity than
the full string name.
- getNodeName() - 类 中的方法org.tensorflow.framework.Summary.Value.Builder
-
This field is deprecated and will not be set.
- getNodeName() - 类 中的方法org.tensorflow.framework.Summary.Value
-
This field is deprecated and will not be set.
- getNodeName() - 接口 中的方法org.tensorflow.framework.Summary.ValueOrBuilder
-
This field is deprecated and will not be set.
- getNodeNameBytes() - 类 中的方法org.tensorflow.framework.DebugTensorWatch.Builder
-
Name of the node to watch.
- getNodeNameBytes() - 类 中的方法org.tensorflow.framework.DebugTensorWatch
-
Name of the node to watch.
- getNodeNameBytes() - 接口 中的方法org.tensorflow.framework.DebugTensorWatchOrBuilder
-
Name of the node to watch.
- getNodeNameBytes() - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
TODO(tucker): Use some more compact form of node identity than
the full string name.
- getNodeNameBytes() - 类 中的方法org.tensorflow.framework.NodeExecStats
-
TODO(tucker): Use some more compact form of node identity than
the full string name.
- getNodeNameBytes() - 接口 中的方法org.tensorflow.framework.NodeExecStatsOrBuilder
-
TODO(tucker): Use some more compact form of node identity than
the full string name.
- getNodeNameBytes() - 类 中的方法org.tensorflow.framework.Summary.Value.Builder
-
This field is deprecated and will not be set.
- getNodeNameBytes() - 类 中的方法org.tensorflow.framework.Summary.Value
-
This field is deprecated and will not be set.
- getNodeNameBytes() - 接口 中的方法org.tensorflow.framework.Summary.ValueOrBuilder
-
This field is deprecated and will not be set.
- getNodeOrBuilder(int) - 类 中的方法org.tensorflow.framework.CostGraphDef.Builder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeOrBuilder(int) - 类 中的方法org.tensorflow.framework.CostGraphDef
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeOrBuilder(int) - 接口 中的方法org.tensorflow.framework.CostGraphDefOrBuilder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeOrBuilder(int) - 类 中的方法org.tensorflow.framework.GraphDef.Builder
-
repeated .tensorflow.NodeDef node = 1;
- getNodeOrBuilder(int) - 类 中的方法org.tensorflow.framework.GraphDef
-
repeated .tensorflow.NodeDef node = 1;
- getNodeOrBuilder(int) - 接口 中的方法org.tensorflow.framework.GraphDefOrBuilder
-
repeated .tensorflow.NodeDef node = 1;
- getNodeOrBuilderList() - 类 中的方法org.tensorflow.framework.CostGraphDef.Builder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeOrBuilderList() - 类 中的方法org.tensorflow.framework.CostGraphDef
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeOrBuilderList() - 接口 中的方法org.tensorflow.framework.CostGraphDefOrBuilder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeOrBuilderList() - 类 中的方法org.tensorflow.framework.GraphDef.Builder
-
repeated .tensorflow.NodeDef node = 1;
- getNodeOrBuilderList() - 类 中的方法org.tensorflow.framework.GraphDef
-
repeated .tensorflow.NodeDef node = 1;
- getNodeOrBuilderList() - 接口 中的方法org.tensorflow.framework.GraphDefOrBuilder
-
repeated .tensorflow.NodeDef node = 1;
- getNodeOutputInfo(int) - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
- getNodeOutputInfo(int) - 类 中的方法org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
- getNodeOutputInfo(int) - 接口 中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
- getNodeOutputInfoBuilder(int) - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
- getNodeOutputInfoBuilderList() - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
- getNodeOutputInfoCount() - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
- getNodeOutputInfoCount() - 类 中的方法org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
- getNodeOutputInfoCount() - 接口 中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
- getNodeOutputInfoList() - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
- getNodeOutputInfoList() - 类 中的方法org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
- getNodeOutputInfoList() - 接口 中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
- getNodeOutputInfoOrBuilder(int) - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
- getNodeOutputInfoOrBuilder(int) - 类 中的方法org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
- getNodeOutputInfoOrBuilder(int) - 接口 中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
- getNodeOutputInfoOrBuilderList() - 类 中的方法org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
- getNodeOutputInfoOrBuilderList() - 类 中的方法org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
- getNodeOutputInfoOrBuilderList() - 接口 中的方法org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
- getNodes(int) - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
-
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
- getNodes(int) - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
-
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
- getNodes(int) - 接口 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraphOrBuilder
-
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
- getNodesBuilder(int) - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
-
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
- getNodesBuilderList() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
-
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
- getNodesCount() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
-
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
- getNodesCount() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
-
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
- getNodesCount() - 接口 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraphOrBuilder
-
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
- getNodesList() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
-
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
- getNodesList() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
-
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
- getNodesList() - 接口 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraphOrBuilder
-
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
- getNodesOrBuilder(int) - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
-
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
- getNodesOrBuilder(int) - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
-
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
- getNodesOrBuilder(int) - 接口 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraphOrBuilder
-
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
- getNodesOrBuilderList() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
-
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
- getNodesOrBuilderList() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
-
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
- getNodesOrBuilderList() - 接口 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraphOrBuilder
-
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
- getNodeStats(int) - 类 中的方法org.tensorflow.framework.DeviceStepStats.Builder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStats(int) - 类 中的方法org.tensorflow.framework.DeviceStepStats
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStats(int) - 接口 中的方法org.tensorflow.framework.DeviceStepStatsOrBuilder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsBuilder(int) - 类 中的方法org.tensorflow.framework.DeviceStepStats.Builder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsBuilderList() - 类 中的方法org.tensorflow.framework.DeviceStepStats.Builder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsCount() - 类 中的方法org.tensorflow.framework.DeviceStepStats.Builder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsCount() - 类 中的方法org.tensorflow.framework.DeviceStepStats
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsCount() - 接口 中的方法org.tensorflow.framework.DeviceStepStatsOrBuilder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsList() - 类 中的方法org.tensorflow.framework.DeviceStepStats.Builder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsList() - 类 中的方法org.tensorflow.framework.DeviceStepStats
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsList() - 接口 中的方法org.tensorflow.framework.DeviceStepStatsOrBuilder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsOrBuilder(int) - 类 中的方法org.tensorflow.framework.DeviceStepStats.Builder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsOrBuilder(int) - 类 中的方法org.tensorflow.framework.DeviceStepStats
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsOrBuilder(int) - 接口 中的方法org.tensorflow.framework.DeviceStepStatsOrBuilder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsOrBuilderList() - 类 中的方法org.tensorflow.framework.DeviceStepStats.Builder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsOrBuilderList() - 类 中的方法org.tensorflow.framework.DeviceStepStats
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsOrBuilderList() - 接口 中的方法org.tensorflow.framework.DeviceStepStatsOrBuilder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNum() - 类 中的方法org.tensorflow.framework.HistogramProto.Builder
-
double num = 3;
- getNum() - 类 中的方法org.tensorflow.framework.HistogramProto
-
double num = 3;
- getNum() - 接口 中的方法org.tensorflow.framework.HistogramProtoOrBuilder
-
double num = 3;
- getNumaNode() - 类 中的方法org.tensorflow.framework.DeviceLocality.Builder
-
Optional NUMA locality of device.
- getNumaNode() - 类 中的方法org.tensorflow.framework.DeviceLocality
-
Optional NUMA locality of device.
- getNumaNode() - 接口 中的方法org.tensorflow.framework.DeviceLocalityOrBuilder
-
Optional NUMA locality of device.
- getNumber() - 枚举 中的方法org.tensorflow.example.Feature.KindCase
-
- getNumber() - 枚举 中的方法org.tensorflow.example.FeatureConfiguration.ConfigCase
-
- getNumber() - 枚举 中的方法org.tensorflow.framework.ApiDef.Visibility
-
- getNumber() - 枚举 中的方法org.tensorflow.framework.AttrValue.ValueCase
-
- getNumber() - 枚举 中的方法org.tensorflow.framework.Code
-
- getNumber() - 枚举 中的方法org.tensorflow.framework.CollectionDef.KindCase
-
- getNumber() - 枚举 中的方法org.tensorflow.framework.ControlFlowContextDef.CtxtCase
-
- getNumber() - 枚举 中的方法org.tensorflow.framework.DataType
-
- getNumber() - 枚举 中的方法org.tensorflow.framework.GraphTransferInfo.Destination
-
- getNumber() - 枚举 中的方法org.tensorflow.framework.OptimizerOptions.GlobalJitLevel
-
- getNumber() - 枚举 中的方法org.tensorflow.framework.OptimizerOptions.Level
-
- getNumber() - 枚举 中的方法org.tensorflow.framework.RewriterConfig.MemOptType
-
- getNumber() - 枚举 中的方法org.tensorflow.framework.RewriterConfig.NumIterationsType
-
- getNumber() - 枚举 中的方法org.tensorflow.framework.RewriterConfig.Toggle
-
- getNumber() - 枚举 中的方法org.tensorflow.framework.RunOptions.TraceLevel
-
- getNumber() - 枚举 中的方法org.tensorflow.framework.Summary.Value.ValueCase
-
- getNumber() - 枚举 中的方法org.tensorflow.framework.TensorInfo.EncodingCase
-
- getNumber() - 枚举 中的方法org.tensorflow.framework.TensorSliceProto.Extent.HasLengthCase
-
- getNumber() - 枚举 中的方法org.tensorflow.util.BundleHeaderProto.Endianness
-
- getNumber() - 枚举 中的方法org.tensorflow.util.SaverDef.CheckpointFormatVersion
-
- getNumber() - 枚举 中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.ItemCase
-
- getNumber() - 枚举 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.PolicyChoiceCase
-
- getNumber() - 枚举 中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.State
-
- getNumber() - 枚举 中的方法tensorflow.serving.Inference.InferenceResult.ResultCase
-
- getNumber() - 枚举 中的方法tensorflow.serving.InputOuterClass.Input.KindCase
-
- getNumber() - 枚举 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput.KindCase
-
- getNumber() - 枚举 中的方法tensorflow.serving.Model.ModelSpec.VersionChoiceCase
-
- getNumber() - 枚举 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig.ConfigCase
-
- getNumber() - 枚举 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelType
-
- getNumber() - 枚举 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.LogTypeCase
-
- getNumberAttr() - 类 中的方法org.tensorflow.framework.OpDef.ArgDef.Builder
-
if specified, attr must have type "int"
string number_attr = 5;
- getNumberAttr() - 类 中的方法org.tensorflow.framework.OpDef.ArgDef
-
if specified, attr must have type "int"
string number_attr = 5;
- getNumberAttr() - 接口 中的方法org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
if specified, attr must have type "int"
string number_attr = 5;
- getNumberAttrBytes() - 类 中的方法org.tensorflow.framework.OpDef.ArgDef.Builder
-
if specified, attr must have type "int"
string number_attr = 5;
- getNumberAttrBytes() - 类 中的方法org.tensorflow.framework.OpDef.ArgDef
-
if specified, attr must have type "int"
string number_attr = 5;
- getNumberAttrBytes() - 接口 中的方法org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
if specified, attr must have type "int"
string number_attr = 5;
- getNumBytes() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest.Builder
-
Size of value expected, must agree with BufRendezvous entry.
- getNumBytes() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest
-
Size of value expected, must agree with BufRendezvous entry.
- getNumBytes() - 接口 中的方法org.tensorflow.distruntime.RecvBufRequestOrBuilder
-
Size of value expected, must agree with BufRendezvous entry.
- getNumBytes() - 类 中的方法org.tensorflow.distruntime.RecvBufResponse.Builder
-
Byte length of buf_ptr field, if set.
- getNumBytes() - 类 中的方法org.tensorflow.distruntime.RecvBufResponse
-
Byte length of buf_ptr field, if set.
- getNumBytes() - 接口 中的方法org.tensorflow.distruntime.RecvBufResponseOrBuilder
-
Byte length of buf_ptr field, if set.
- getNumBytes() - 类 中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Number of bytes in the allocation.
- getNumBytes() - 类 中的方法org.tensorflow.framework.MemoryLogRawAllocation
-
Number of bytes in the allocation.
- getNumBytes() - 接口 中的方法org.tensorflow.framework.MemoryLogRawAllocationOrBuilder
-
Number of bytes in the allocation.
- getNumChannels() - 类 中的方法org.tensorflow.framework.Summary.Audio.Builder
-
Number of channels of audio.
- getNumChannels() - 类 中的方法org.tensorflow.framework.Summary.Audio
-
Number of channels of audio.
- getNumChannels() - 接口 中的方法org.tensorflow.framework.Summary.AudioOrBuilder
-
Number of channels of audio.
- getNumCores() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Number of cores
int64 num_cores = 5;
- getNumCores() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties
-
Number of cores
int64 num_cores = 5;
- getNumCores() - 接口 中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
Number of cores
int64 num_cores = 5;
- getNumDevToDevCopyStreams() - 类 中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder
-
If > 1, the number of device-to-device copy streams to create
for each GPUDevice.
- getNumDevToDevCopyStreams() - 类 中的方法org.tensorflow.framework.GPUOptions.Experimental
-
If > 1, the number of device-to-device copy streams to create
for each GPUDevice.
- getNumDevToDevCopyStreams() - 接口 中的方法org.tensorflow.framework.GPUOptions.ExperimentalOrBuilder
-
If > 1, the number of device-to-device copy streams to create
for each GPUDevice.
- getNumRecordsProduced() - 类 中的方法org.tensorflow.framework.ReaderBaseState.Builder
-
int64 num_records_produced = 3;
- getNumRecordsProduced() - 类 中的方法org.tensorflow.framework.ReaderBaseState
-
int64 num_records_produced = 3;
- getNumRecordsProduced() - 接口 中的方法org.tensorflow.framework.ReaderBaseStateOrBuilder
-
int64 num_records_produced = 3;
- getNumRegisters() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Number of registers per core.
- getNumRegisters() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties
-
Number of registers per core.
- getNumRegisters() - 接口 中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
Number of registers per core.
- getNumReplicas() - 类 中的方法org.tensorflow.framework.AutoParallelOptions.Builder
-
int32 num_replicas = 2;
- getNumReplicas() - 类 中的方法org.tensorflow.framework.AutoParallelOptions
-
int32 num_replicas = 2;
- getNumReplicas() - 接口 中的方法org.tensorflow.framework.AutoParallelOptionsOrBuilder
-
int32 num_replicas = 2;
- getNumShards() - 类 中的方法org.tensorflow.util.BundleHeaderProto.Builder
-
Number of data files in the bundle.
- getNumShards() - 类 中的方法org.tensorflow.util.BundleHeaderProto
-
Number of data files in the bundle.
- getNumShards() - 接口 中的方法org.tensorflow.util.BundleHeaderProtoOrBuilder
-
Number of data files in the bundle.
- getNumTasks() - 类 中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
number of distinct tasks hosting the devices
int32 num_tasks = 4;
- getNumTasks() - 类 中的方法org.tensorflow.distruntime.CompleteGroupResponse
-
number of distinct tasks hosting the devices
int32 num_tasks = 4;
- getNumTasks() - 接口 中的方法org.tensorflow.distruntime.CompleteGroupResponseOrBuilder
-
number of distinct tasks hosting the devices
int32 num_tasks = 4;
- getNumThreads() - 类 中的方法org.tensorflow.framework.ThreadPoolOptionProto.Builder
-
The number of threads in the pool.
0 means the system picks a value based on where this option proto is used
(see the declaration of the specific field for more info).
- getNumThreads() - 类 中的方法org.tensorflow.framework.ThreadPoolOptionProto
-
The number of threads in the pool.
0 means the system picks a value based on where this option proto is used
(see the declaration of the specific field for more info).
- getNumThreads() - 接口 中的方法org.tensorflow.framework.ThreadPoolOptionProtoOrBuilder
-
The number of threads in the pool.
0 means the system picks a value based on where this option proto is used
(see the declaration of the specific field for more info).
- getNumVersions() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest.Builder
-
Number of latest versions to serve.
- getNumVersions() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest
-
Number of latest versions to serve.
- getNumVersions() - 接口 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.LatestOrBuilder
-
Number of latest versions to serve.
- getObsoleteOldStyleHistogram() - 类 中的方法org.tensorflow.framework.Summary.Value.Builder
-
bytes obsolete_old_style_histogram = 3;
- getObsoleteOldStyleHistogram() - 类 中的方法org.tensorflow.framework.Summary.Value
-
bytes obsolete_old_style_histogram = 3;
- getObsoleteOldStyleHistogram() - 接口 中的方法org.tensorflow.framework.Summary.ValueOrBuilder
-
bytes obsolete_old_style_histogram = 3;
- getOffset() - 类 中的方法org.tensorflow.util.BundleEntryProto.Builder
-
int64 offset = 4;
- getOffset() - 类 中的方法org.tensorflow.util.BundleEntryProto
-
int64 offset = 4;
- getOffset() - 接口 中的方法org.tensorflow.util.BundleEntryProtoOrBuilder
-
int64 offset = 4;
- getOp(int) - 类 中的方法org.tensorflow.framework.ApiDefs.Builder
-
repeated .tensorflow.ApiDef op = 1;
- getOp(int) - 类 中的方法org.tensorflow.framework.ApiDefs
-
repeated .tensorflow.ApiDef op = 1;
- getOp(int) - 接口 中的方法org.tensorflow.framework.ApiDefsOrBuilder
-
repeated .tensorflow.ApiDef op = 1;
- getOp() - 类 中的方法org.tensorflow.framework.KernelDef.Builder
-
Must match the name of an Op.
- getOp() - 类 中的方法org.tensorflow.framework.KernelDef
-
Must match the name of an Op.
- getOp() - 接口 中的方法org.tensorflow.framework.KernelDefOrBuilder
-
Must match the name of an Op.
- getOp() - 类 中的方法org.tensorflow.framework.NodeDef.Builder
-
The operation name.
- getOp() - 类 中的方法org.tensorflow.framework.NodeDef
-
The operation name.
- getOp() - 接口 中的方法org.tensorflow.framework.NodeDefOrBuilder
-
The operation name.
- getOp(int) - 类 中的方法org.tensorflow.framework.OpList.Builder
-
repeated .tensorflow.OpDef op = 1;
- getOp(int) - 类 中的方法org.tensorflow.framework.OpList
-
repeated .tensorflow.OpDef op = 1;
- getOp(int) - 接口 中的方法org.tensorflow.framework.OpListOrBuilder
-
repeated .tensorflow.OpDef op = 1;
- getOpBuilder(int) - 类 中的方法org.tensorflow.framework.ApiDefs.Builder
-
repeated .tensorflow.ApiDef op = 1;
- getOpBuilder(int) - 类 中的方法org.tensorflow.framework.OpList.Builder
-
repeated .tensorflow.OpDef op = 1;
- getOpBuilderList() - 类 中的方法org.tensorflow.framework.ApiDefs.Builder
-
repeated .tensorflow.ApiDef op = 1;
- getOpBuilderList() - 类 中的方法org.tensorflow.framework.OpList.Builder
-
repeated .tensorflow.OpDef op = 1;
- getOpBytes() - 类 中的方法org.tensorflow.framework.KernelDef.Builder
-
Must match the name of an Op.
- getOpBytes() - 类 中的方法org.tensorflow.framework.KernelDef
-
Must match the name of an Op.
- getOpBytes() - 接口 中的方法org.tensorflow.framework.KernelDefOrBuilder
-
Must match the name of an Op.
- getOpBytes() - 类 中的方法org.tensorflow.framework.NodeDef.Builder
-
The operation name.
- getOpBytes() - 类 中的方法org.tensorflow.framework.NodeDef
-
The operation name.
- getOpBytes() - 接口 中的方法org.tensorflow.framework.NodeDefOrBuilder
-
The operation name.
- getOpCount() - 类 中的方法org.tensorflow.framework.ApiDefs.Builder
-
repeated .tensorflow.ApiDef op = 1;
- getOpCount() - 类 中的方法org.tensorflow.framework.ApiDefs
-
repeated .tensorflow.ApiDef op = 1;
- getOpCount() - 接口 中的方法org.tensorflow.framework.ApiDefsOrBuilder
-
repeated .tensorflow.ApiDef op = 1;
- getOpCount() - 类 中的方法org.tensorflow.framework.OpList.Builder
-
repeated .tensorflow.OpDef op = 1;
- getOpCount() - 类 中的方法org.tensorflow.framework.OpList
-
repeated .tensorflow.OpDef op = 1;
- getOpCount() - 接口 中的方法org.tensorflow.framework.OpListOrBuilder
-
repeated .tensorflow.OpDef op = 1;
- getOpEndRelMicros() - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
int64 op_end_rel_micros = 4;
- getOpEndRelMicros() - 类 中的方法org.tensorflow.framework.NodeExecStats
-
int64 op_end_rel_micros = 4;
- getOpEndRelMicros() - 接口 中的方法org.tensorflow.framework.NodeExecStatsOrBuilder
-
int64 op_end_rel_micros = 4;
- getOpEndRelNanos() - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
int64 op_end_rel_nanos = 15;
- getOpEndRelNanos() - 类 中的方法org.tensorflow.framework.NodeExecStats
-
int64 op_end_rel_nanos = 15;
- getOpEndRelNanos() - 接口 中的方法org.tensorflow.framework.NodeExecStatsOrBuilder
-
int64 op_end_rel_nanos = 15;
- getOperation() - 类 中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Name of the operation making the allocation.
- getOperation() - 类 中的方法org.tensorflow.framework.MemoryLogRawAllocation
-
Name of the operation making the allocation.
- getOperation() - 接口 中的方法org.tensorflow.framework.MemoryLogRawAllocationOrBuilder
-
Name of the operation making the allocation.
- getOperation() - 类 中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
Name of the operation making the deallocation.
- getOperation() - 类 中的方法org.tensorflow.framework.MemoryLogRawDeallocation
-
Name of the operation making the deallocation.
- getOperation() - 接口 中的方法org.tensorflow.framework.MemoryLogRawDeallocationOrBuilder
-
Name of the operation making the deallocation.
- getOperation() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
-
.tensorflow.eager.Operation operation = 2;
- getOperation() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem
-
.tensorflow.eager.Operation operation = 2;
- getOperation() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.QueueItemOrBuilder
-
.tensorflow.eager.Operation operation = 2;
- getOperationBuilder() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
-
.tensorflow.eager.Operation operation = 2;
- getOperationBytes() - 类 中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Name of the operation making the allocation.
- getOperationBytes() - 类 中的方法org.tensorflow.framework.MemoryLogRawAllocation
-
Name of the operation making the allocation.
- getOperationBytes() - 接口 中的方法org.tensorflow.framework.MemoryLogRawAllocationOrBuilder
-
Name of the operation making the allocation.
- getOperationBytes() - 类 中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
Name of the operation making the deallocation.
- getOperationBytes() - 类 中的方法org.tensorflow.framework.MemoryLogRawDeallocation
-
Name of the operation making the deallocation.
- getOperationBytes() - 接口 中的方法org.tensorflow.framework.MemoryLogRawDeallocationOrBuilder
-
Name of the operation making the deallocation.
- getOperationOrBuilder() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
-
.tensorflow.eager.Operation operation = 2;
- getOperationOrBuilder() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem
-
.tensorflow.eager.Operation operation = 2;
- getOperationOrBuilder() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.QueueItemOrBuilder
-
.tensorflow.eager.Operation operation = 2;
- getOperationTimeoutInMs() - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
Global timeout for all blocking operations in this session.
- getOperationTimeoutInMs() - 类 中的方法org.tensorflow.framework.ConfigProto
-
Global timeout for all blocking operations in this session.
- getOperationTimeoutInMs() - 接口 中的方法org.tensorflow.framework.ConfigProtoOrBuilder
-
Global timeout for all blocking operations in this session.
- getOpId() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
-
The ID of the operation that produced this tensor.
- getOpId() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
-
The ID of the operation that produced this tensor.
- getOpId() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandleOrBuilder
-
The ID of the operation that produced this tensor.
- getOpId() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder
-
All remote tensors are identified by <Op ID, Output num>.
- getOpId() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
-
All remote tensors are identified by <Op ID, Output num>.
- getOpId() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequestOrBuilder
-
All remote tensors are identified by <Op ID, Output num>.
- getOpId(int) - 类 中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
-
Ids to wait on.
- getOpId(int) - 类 中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
-
Ids to wait on.
- getOpId(int) - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequestOrBuilder
-
Ids to wait on.
- getOpIdCount() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
-
Ids to wait on.
- getOpIdCount() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
-
Ids to wait on.
- getOpIdCount() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequestOrBuilder
-
Ids to wait on.
- getOpIdList() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
-
Ids to wait on.
- getOpIdList() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
-
Ids to wait on.
- getOpIdList() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequestOrBuilder
-
Ids to wait on.
- getOpList() - 类 中的方法org.tensorflow.framework.ApiDefs.Builder
-
repeated .tensorflow.ApiDef op = 1;
- getOpList() - 类 中的方法org.tensorflow.framework.ApiDefs
-
repeated .tensorflow.ApiDef op = 1;
- getOpList() - 接口 中的方法org.tensorflow.framework.ApiDefsOrBuilder
-
repeated .tensorflow.ApiDef op = 1;
- getOpList() - 类 中的方法org.tensorflow.framework.OpList.Builder
-
repeated .tensorflow.OpDef op = 1;
- getOpList() - 类 中的方法org.tensorflow.framework.OpList
-
repeated .tensorflow.OpDef op = 1;
- getOpList() - 接口 中的方法org.tensorflow.framework.OpListOrBuilder
-
repeated .tensorflow.OpDef op = 1;
- getOpOrBuilder(int) - 类 中的方法org.tensorflow.framework.ApiDefs.Builder
-
repeated .tensorflow.ApiDef op = 1;
- getOpOrBuilder(int) - 类 中的方法org.tensorflow.framework.ApiDefs
-
repeated .tensorflow.ApiDef op = 1;
- getOpOrBuilder(int) - 接口 中的方法org.tensorflow.framework.ApiDefsOrBuilder
-
repeated .tensorflow.ApiDef op = 1;
- getOpOrBuilder(int) - 类 中的方法org.tensorflow.framework.OpList.Builder
-
repeated .tensorflow.OpDef op = 1;
- getOpOrBuilder(int) - 类 中的方法org.tensorflow.framework.OpList
-
repeated .tensorflow.OpDef op = 1;
- getOpOrBuilder(int) - 接口 中的方法org.tensorflow.framework.OpListOrBuilder
-
repeated .tensorflow.OpDef op = 1;
- getOpOrBuilderList() - 类 中的方法org.tensorflow.framework.ApiDefs.Builder
-
repeated .tensorflow.ApiDef op = 1;
- getOpOrBuilderList() - 类 中的方法org.tensorflow.framework.ApiDefs
-
repeated .tensorflow.ApiDef op = 1;
- getOpOrBuilderList() - 接口 中的方法org.tensorflow.framework.ApiDefsOrBuilder
-
repeated .tensorflow.ApiDef op = 1;
- getOpOrBuilderList() - 类 中的方法org.tensorflow.framework.OpList.Builder
-
repeated .tensorflow.OpDef op = 1;
- getOpOrBuilderList() - 类 中的方法org.tensorflow.framework.OpList
-
repeated .tensorflow.OpDef op = 1;
- getOpOrBuilderList() - 接口 中的方法org.tensorflow.framework.OpListOrBuilder
-
repeated .tensorflow.OpDef op = 1;
- getOpStartRelMicros() - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
int64 op_start_rel_micros = 3;
- getOpStartRelMicros() - 类 中的方法org.tensorflow.framework.NodeExecStats
-
int64 op_start_rel_micros = 3;
- getOpStartRelMicros() - 接口 中的方法org.tensorflow.framework.NodeExecStatsOrBuilder
-
int64 op_start_rel_micros = 3;
- getOpStartRelNanos() - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
int64 op_start_rel_nanos = 14;
- getOpStartRelNanos() - 类 中的方法org.tensorflow.framework.NodeExecStats
-
int64 op_start_rel_nanos = 14;
- getOpStartRelNanos() - 接口 中的方法org.tensorflow.framework.NodeExecStatsOrBuilder
-
int64 op_start_rel_nanos = 14;
- getOptimizerOptions() - 类 中的方法org.tensorflow.framework.GraphOptions.Builder
-
Options controlling how graph is optimized.
- getOptimizerOptions() - 类 中的方法org.tensorflow.framework.GraphOptions
-
Options controlling how graph is optimized.
- getOptimizerOptions() - 接口 中的方法org.tensorflow.framework.GraphOptionsOrBuilder
-
Options controlling how graph is optimized.
- getOptimizerOptionsBuilder() - 类 中的方法org.tensorflow.framework.GraphOptions.Builder
-
Options controlling how graph is optimized.
- getOptimizerOptionsOrBuilder() - 类 中的方法org.tensorflow.framework.GraphOptions.Builder
-
Options controlling how graph is optimized.
- getOptimizerOptionsOrBuilder() - 类 中的方法org.tensorflow.framework.GraphOptions
-
Options controlling how graph is optimized.
- getOptimizerOptionsOrBuilder() - 接口 中的方法org.tensorflow.framework.GraphOptionsOrBuilder
-
Options controlling how graph is optimized.
- getOptimizers(int) - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
If non-empty, will use this as an alternative way to specify a list of
optimizations to turn on and the order of the optimizations (replacing the
meta-optimizer).
- getOptimizers(int) - 类 中的方法org.tensorflow.framework.RewriterConfig
-
If non-empty, will use this as an alternative way to specify a list of
optimizations to turn on and the order of the optimizations (replacing the
meta-optimizer).
- getOptimizers(int) - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
If non-empty, will use this as an alternative way to specify a list of
optimizations to turn on and the order of the optimizations (replacing the
meta-optimizer).
- getOptimizersBytes(int) - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
If non-empty, will use this as an alternative way to specify a list of
optimizations to turn on and the order of the optimizations (replacing the
meta-optimizer).
- getOptimizersBytes(int) - 类 中的方法org.tensorflow.framework.RewriterConfig
-
If non-empty, will use this as an alternative way to specify a list of
optimizations to turn on and the order of the optimizations (replacing the
meta-optimizer).
- getOptimizersBytes(int) - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
If non-empty, will use this as an alternative way to specify a list of
optimizations to turn on and the order of the optimizations (replacing the
meta-optimizer).
- getOptimizersCount() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
If non-empty, will use this as an alternative way to specify a list of
optimizations to turn on and the order of the optimizations (replacing the
meta-optimizer).
- getOptimizersCount() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
If non-empty, will use this as an alternative way to specify a list of
optimizations to turn on and the order of the optimizations (replacing the
meta-optimizer).
- getOptimizersCount() - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
If non-empty, will use this as an alternative way to specify a list of
optimizations to turn on and the order of the optimizations (replacing the
meta-optimizer).
- getOptimizersList() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
If non-empty, will use this as an alternative way to specify a list of
optimizations to turn on and the order of the optimizations (replacing the
meta-optimizer).
- getOptimizersList() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
If non-empty, will use this as an alternative way to specify a list of
optimizations to turn on and the order of the optimizations (replacing the
meta-optimizer).
- getOptimizersList() - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
If non-empty, will use this as an alternative way to specify a list of
optimizations to turn on and the order of the optimizations (replacing the
meta-optimizer).
- getOptions() - 类 中的方法org.tensorflow.distruntime.MakeCallableRequest.Builder
-
Options that define the behavior of the created callable.
- getOptions() - 类 中的方法org.tensorflow.distruntime.MakeCallableRequest
-
Options that define the behavior of the created callable.
- getOptions() - 接口 中的方法org.tensorflow.distruntime.MakeCallableRequestOrBuilder
-
Options that define the behavior of the created callable.
- getOptions() - 类 中的方法org.tensorflow.distruntime.RunStepRequest.Builder
-
Options for the run call.
- getOptions() - 类 中的方法org.tensorflow.distruntime.RunStepRequest
-
Options for the run call.
- getOptions() - 接口 中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder
-
Options for the run call.
- getOptions() - 类 中的方法org.tensorflow.distruntime.TracingRequest.Builder
-
.tensorflow.TraceOpts options = 1;
- getOptions() - 类 中的方法org.tensorflow.distruntime.TracingRequest
-
.tensorflow.TraceOpts options = 1;
- getOptions() - 接口 中的方法org.tensorflow.distruntime.TracingRequestOrBuilder
-
.tensorflow.TraceOpts options = 1;
- getOptions() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
-
Options for the run call.
- getOptions() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
-
Options for the run call.
- getOptions() - 接口 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequestOrBuilder
-
Options for the run call.
- getOptionsBuilder() - 类 中的方法org.tensorflow.distruntime.MakeCallableRequest.Builder
-
Options that define the behavior of the created callable.
- getOptionsBuilder() - 类 中的方法org.tensorflow.distruntime.RunStepRequest.Builder
-
Options for the run call.
- getOptionsBuilder() - 类 中的方法org.tensorflow.distruntime.TracingRequest.Builder
-
.tensorflow.TraceOpts options = 1;
- getOptionsBuilder() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
-
Options for the run call.
- getOptionsOrBuilder() - 类 中的方法org.tensorflow.distruntime.MakeCallableRequest.Builder
-
Options that define the behavior of the created callable.
- getOptionsOrBuilder() - 类 中的方法org.tensorflow.distruntime.MakeCallableRequest
-
Options that define the behavior of the created callable.
- getOptionsOrBuilder() - 接口 中的方法org.tensorflow.distruntime.MakeCallableRequestOrBuilder
-
Options that define the behavior of the created callable.
- getOptionsOrBuilder() - 类 中的方法org.tensorflow.distruntime.RunStepRequest.Builder
-
Options for the run call.
- getOptionsOrBuilder() - 类 中的方法org.tensorflow.distruntime.RunStepRequest
-
Options for the run call.
- getOptionsOrBuilder() - 接口 中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder
-
Options for the run call.
- getOptionsOrBuilder() - 类 中的方法org.tensorflow.distruntime.TracingRequest.Builder
-
.tensorflow.TraceOpts options = 1;
- getOptionsOrBuilder() - 类 中的方法org.tensorflow.distruntime.TracingRequest
-
.tensorflow.TraceOpts options = 1;
- getOptionsOrBuilder() - 接口 中的方法org.tensorflow.distruntime.TracingRequestOrBuilder
-
.tensorflow.TraceOpts options = 1;
- getOptionsOrBuilder() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
-
Options for the run call.
- getOptionsOrBuilder() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
-
Options for the run call.
- getOptionsOrBuilder() - 接口 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequestOrBuilder
-
Options for the run call.
- getOptLevel() - 类 中的方法org.tensorflow.framework.OptimizerOptions.Builder
-
Overall optimization level.
- getOptLevel() - 类 中的方法org.tensorflow.framework.OptimizerOptions
-
Overall optimization level.
- getOptLevel() - 接口 中的方法org.tensorflow.framework.OptimizerOptionsOrBuilder
-
Overall optimization level.
- getOptLevelValue() - 类 中的方法org.tensorflow.framework.OptimizerOptions.Builder
-
Overall optimization level.
- getOptLevelValue() - 类 中的方法org.tensorflow.framework.OptimizerOptions
-
Overall optimization level.
- getOptLevelValue() - 接口 中的方法org.tensorflow.framework.OptimizerOptionsOrBuilder
-
Overall optimization level.
- getOriginalVariableNodeId() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
-
An index into `CheckpointableObjectGraph.nodes`, indicating the
variable object this slot was created for.
- getOriginalVariableNodeId() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
-
An index into `CheckpointableObjectGraph.nodes`, indicating the
variable object this slot was created for.
- getOriginalVariableNodeId() - 接口 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReferenceOrBuilder
-
An index into `CheckpointableObjectGraph.nodes`, indicating the
variable object this slot was created for.
- getOutArg(int) - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArg(int) - 类 中的方法org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArg(int) - 接口 中的方法org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgBuilder(int) - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgBuilderList() - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgCount() - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgCount() - 类 中的方法org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgCount() - 接口 中的方法org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgList() - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgList() - 类 中的方法org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgList() - 接口 中的方法org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgOrBuilder(int) - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgOrBuilder(int) - 类 中的方法org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgOrBuilder(int) - 接口 中的方法org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgOrBuilderList() - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgOrBuilderList() - 类 中的方法org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgOrBuilderList() - 接口 中的方法org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutput(int) - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.NodeOutput output = 7;
- getOutput(int) - 类 中的方法org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.NodeOutput output = 7;
- getOutput(int) - 接口 中的方法org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputArg(int) - 类 中的方法org.tensorflow.framework.OpDef.Builder
-
Description of the output(s).
- getOutputArg(int) - 类 中的方法org.tensorflow.framework.OpDef
-
Description of the output(s).
- getOutputArg(int) - 接口 中的方法org.tensorflow.framework.OpDefOrBuilder
-
Description of the output(s).
- getOutputArgBuilder(int) - 类 中的方法org.tensorflow.framework.OpDef.Builder
-
Description of the output(s).
- getOutputArgBuilderList() - 类 中的方法org.tensorflow.framework.OpDef.Builder
-
Description of the output(s).
- getOutputArgCount() - 类 中的方法org.tensorflow.framework.OpDef.Builder
-
Description of the output(s).
- getOutputArgCount() - 类 中的方法org.tensorflow.framework.OpDef
-
Description of the output(s).
- getOutputArgCount() - 接口 中的方法org.tensorflow.framework.OpDefOrBuilder
-
Description of the output(s).
- getOutputArgList() - 类 中的方法org.tensorflow.framework.OpDef.Builder
-
Description of the output(s).
- getOutputArgList() - 类 中的方法org.tensorflow.framework.OpDef
-
Description of the output(s).
- getOutputArgList() - 接口 中的方法org.tensorflow.framework.OpDefOrBuilder
-
Description of the output(s).
- getOutputArgOrBuilder(int) - 类 中的方法org.tensorflow.framework.OpDef.Builder
-
Description of the output(s).
- getOutputArgOrBuilder(int) - 类 中的方法org.tensorflow.framework.OpDef
-
Description of the output(s).
- getOutputArgOrBuilder(int) - 接口 中的方法org.tensorflow.framework.OpDefOrBuilder
-
Description of the output(s).
- getOutputArgOrBuilderList() - 类 中的方法org.tensorflow.framework.OpDef.Builder
-
Description of the output(s).
- getOutputArgOrBuilderList() - 类 中的方法org.tensorflow.framework.OpDef
-
Description of the output(s).
- getOutputArgOrBuilderList() - 接口 中的方法org.tensorflow.framework.OpDefOrBuilder
-
Description of the output(s).
- getOutputBuilder(int) - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputBuilderList() - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputCount() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
int32 output_count = 7;
- getOutputCount() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInfo
-
int32 output_count = 7;
- getOutputCount() - 接口 中的方法org.tensorflow.framework.GraphTransferNodeInfoOrBuilder
-
int32 output_count = 7;
- getOutputCount() - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputCount() - 类 中的方法org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputCount() - 接口 中的方法org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputFilter(int) - 类 中的方法tensorflow.serving.Predict.PredictRequest.Builder
-
Output filter.
- getOutputFilter(int) - 类 中的方法tensorflow.serving.Predict.PredictRequest
-
Output filter.
- getOutputFilter(int) - 接口 中的方法tensorflow.serving.Predict.PredictRequestOrBuilder
-
Output filter.
- getOutputFilterBytes(int) - 类 中的方法tensorflow.serving.Predict.PredictRequest.Builder
-
Output filter.
- getOutputFilterBytes(int) - 类 中的方法tensorflow.serving.Predict.PredictRequest
-
Output filter.
- getOutputFilterBytes(int) - 接口 中的方法tensorflow.serving.Predict.PredictRequestOrBuilder
-
Output filter.
- getOutputFilterCount() - 类 中的方法tensorflow.serving.Predict.PredictRequest.Builder
-
Output filter.
- getOutputFilterCount() - 类 中的方法tensorflow.serving.Predict.PredictRequest
-
Output filter.
- getOutputFilterCount() - 接口 中的方法tensorflow.serving.Predict.PredictRequestOrBuilder
-
Output filter.
- getOutputFilterList() - 类 中的方法tensorflow.serving.Predict.PredictRequest.Builder
-
Output filter.
- getOutputFilterList() - 类 中的方法tensorflow.serving.Predict.PredictRequest
-
Output filter.
- getOutputFilterList() - 接口 中的方法tensorflow.serving.Predict.PredictRequestOrBuilder
-
Output filter.
- getOutputInfo(int) - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfo(int) - 类 中的方法org.tensorflow.framework.CostGraphDef.Node
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfo(int) - 接口 中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoBuilder(int) - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoBuilderList() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoCount() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoCount() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoCount() - 接口 中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoList() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoList() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoList() - 接口 中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoOrBuilder(int) - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoOrBuilder(int) - 类 中的方法org.tensorflow.framework.CostGraphDef.Node
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoOrBuilder(int) - 接口 中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoOrBuilderList() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoOrBuilderList() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoOrBuilderList() - 接口 中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputList() - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputList() - 类 中的方法org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputList() - 接口 中的方法org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputNum() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
-
The index into the outputs of the operation that produced this tensor.
- getOutputNum() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
-
The index into the outputs of the operation that produced this tensor.
- getOutputNum() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandleOrBuilder
-
The index into the outputs of the operation that produced this tensor.
- getOutputOrBuilder(int) - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputOrBuilder(int) - 类 中的方法org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputOrBuilder(int) - 接口 中的方法org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputOrBuilderList() - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputOrBuilderList() - 类 中的方法org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputOrBuilderList() - 接口 中的方法org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputPartitionGraphs() - 类 中的方法org.tensorflow.framework.RunOptions.Builder
-
Whether the partition graph(s) executed by the executor(s) should be
outputted via RunMetadata.
- getOutputPartitionGraphs() - 类 中的方法org.tensorflow.framework.RunOptions
-
Whether the partition graph(s) executed by the executor(s) should be
outputted via RunMetadata.
- getOutputPartitionGraphs() - 接口 中的方法org.tensorflow.framework.RunOptionsOrBuilder
-
Whether the partition graph(s) executed by the executor(s) should be
outputted via RunMetadata.
- getOutputPort() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInput.Builder
-
int32 output_port = 2;
- getOutputPort() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInput
-
int32 output_port = 2;
- getOutputPort() - 接口 中的方法org.tensorflow.framework.GraphTransferNodeInputOrBuilder
-
int32 output_port = 2;
- getOutputs() - 类 中的方法org.tensorflow.framework.SignatureDef.Builder
-
已过时。
- getOutputs() - 类 中的方法org.tensorflow.framework.SignatureDef
-
已过时。
- getOutputs() - 接口 中的方法org.tensorflow.framework.SignatureDefOrBuilder
-
已过时。
- getOutputs() - 类 中的方法tensorflow.serving.Predict.PredictResponse.Builder
-
已过时。
- getOutputs() - 类 中的方法tensorflow.serving.Predict.PredictResponse
-
已过时。
- getOutputs() - 接口 中的方法tensorflow.serving.Predict.PredictResponseOrBuilder
-
已过时。
- getOutputsCount() - 类 中的方法org.tensorflow.framework.SignatureDef.Builder
-
- getOutputsCount() - 类 中的方法org.tensorflow.framework.SignatureDef
-
- getOutputsCount() - 接口 中的方法org.tensorflow.framework.SignatureDefOrBuilder
-
Named output parameters.
- getOutputsCount() - 类 中的方法tensorflow.serving.Predict.PredictResponse.Builder
-
- getOutputsCount() - 类 中的方法tensorflow.serving.Predict.PredictResponse
-
- getOutputsCount() - 接口 中的方法tensorflow.serving.Predict.PredictResponseOrBuilder
-
Output tensors.
- getOutputSlot() - 类 中的方法org.tensorflow.framework.DebugTensorWatch.Builder
-
Output slot to watch.
- getOutputSlot() - 类 中的方法org.tensorflow.framework.DebugTensorWatch
-
Output slot to watch.
- getOutputSlot() - 接口 中的方法org.tensorflow.framework.DebugTensorWatchOrBuilder
-
Output slot to watch.
- getOutputsMap() - 类 中的方法org.tensorflow.framework.SignatureDef.Builder
-
Named output parameters.
- getOutputsMap() - 类 中的方法org.tensorflow.framework.SignatureDef
-
Named output parameters.
- getOutputsMap() - 接口 中的方法org.tensorflow.framework.SignatureDefOrBuilder
-
Named output parameters.
- getOutputsMap() - 类 中的方法tensorflow.serving.Predict.PredictResponse.Builder
-
Output tensors.
- getOutputsMap() - 类 中的方法tensorflow.serving.Predict.PredictResponse
-
Output tensors.
- getOutputsMap() - 接口 中的方法tensorflow.serving.Predict.PredictResponseOrBuilder
-
Output tensors.
- getOutputsOrDefault(String, TensorInfo) - 类 中的方法org.tensorflow.framework.SignatureDef.Builder
-
Named output parameters.
- getOutputsOrDefault(String, TensorInfo) - 类 中的方法org.tensorflow.framework.SignatureDef
-
Named output parameters.
- getOutputsOrDefault(String, TensorInfo) - 接口 中的方法org.tensorflow.framework.SignatureDefOrBuilder
-
Named output parameters.
- getOutputsOrDefault(String, TensorProto) - 类 中的方法tensorflow.serving.Predict.PredictResponse.Builder
-
Output tensors.
- getOutputsOrDefault(String, TensorProto) - 类 中的方法tensorflow.serving.Predict.PredictResponse
-
Output tensors.
- getOutputsOrDefault(String, TensorProto) - 接口 中的方法tensorflow.serving.Predict.PredictResponseOrBuilder
-
Output tensors.
- getOutputsOrThrow(String) - 类 中的方法org.tensorflow.framework.SignatureDef.Builder
-
Named output parameters.
- getOutputsOrThrow(String) - 类 中的方法org.tensorflow.framework.SignatureDef
-
Named output parameters.
- getOutputsOrThrow(String) - 接口 中的方法org.tensorflow.framework.SignatureDefOrBuilder
-
Named output parameters.
- getOutputsOrThrow(String) - 类 中的方法tensorflow.serving.Predict.PredictResponse.Builder
-
Output tensors.
- getOutputsOrThrow(String) - 类 中的方法tensorflow.serving.Predict.PredictResponse
-
Output tensors.
- getOutputsOrThrow(String) - 接口 中的方法tensorflow.serving.Predict.PredictResponseOrBuilder
-
Output tensors.
- getPaddingId() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
int32 padding_id = 5;
- getPaddingId() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInfo
-
int32 padding_id = 5;
- getPaddingId() - 接口 中的方法org.tensorflow.framework.GraphTransferNodeInfoOrBuilder
-
int32 padding_id = 5;
- getParallelIterations() - 类 中的方法org.tensorflow.framework.WhileContextDef.Builder
-
The number of iterations allowed to run in parallel.
- getParallelIterations() - 类 中的方法org.tensorflow.framework.WhileContextDef
-
The number of iterations allowed to run in parallel.
- getParallelIterations() - 接口 中的方法org.tensorflow.framework.WhileContextDefOrBuilder
-
The number of iterations allowed to run in parallel.
- getParameterMap() - 类 中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
-
已过时。
- getParameterMap() - 类 中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
-
已过时。
- getParameterMap() - 接口 中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizerOrBuilder
-
已过时。
- getParameterMapCount() - 类 中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
-
- getParameterMapCount() - 类 中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
-
- getParameterMapCount() - 接口 中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizerOrBuilder
-
map<string, .tensorflow.AttrValue> parameter_map = 2;
- getParameterMapMap() - 类 中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
-
map<string, .tensorflow.AttrValue> parameter_map = 2;
- getParameterMapMap() - 类 中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
-
map<string, .tensorflow.AttrValue> parameter_map = 2;
- getParameterMapMap() - 接口 中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizerOrBuilder
-
map<string, .tensorflow.AttrValue> parameter_map = 2;
- getParameterMapOrDefault(String, AttrValue) - 类 中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
-
map<string, .tensorflow.AttrValue> parameter_map = 2;
- getParameterMapOrDefault(String, AttrValue) - 类 中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
-
map<string, .tensorflow.AttrValue> parameter_map = 2;
- getParameterMapOrDefault(String, AttrValue) - 接口 中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizerOrBuilder
-
map<string, .tensorflow.AttrValue> parameter_map = 2;
- getParameterMapOrThrow(String) - 类 中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
-
map<string, .tensorflow.AttrValue> parameter_map = 2;
- getParameterMapOrThrow(String) - 类 中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
-
map<string, .tensorflow.AttrValue> parameter_map = 2;
- getParameterMapOrThrow(String) - 接口 中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizerOrBuilder
-
map<string, .tensorflow.AttrValue> parameter_map = 2;
- getParserForType() - 类 中的方法org.tensorflow.distruntime.CleanupAllRequest
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.CleanupAllResponse
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.CleanupGraphRequest
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.CleanupGraphResponse
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.CloseSessionRequest
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.CloseSessionResponse
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.ClusterDef
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.CompleteGroupRequest
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.CompleteGroupResponse
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceResponse
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.CreateSessionRequest
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.CreateSessionResponse
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.CreateWorkerSessionResponse
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.DeleteWorkerSessionResponse
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.DeregisterGraphRequest
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.DeregisterGraphResponse
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.ExecutorOpts
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.ExtendSessionRequest
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.ExtendSessionResponse
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.GetStatusRequest
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.GetStatusResponse
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.GetStepSequenceRequest
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.GetStepSequenceResponse
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.JobDef
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.LabeledStepStats
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.ListDevicesRequest
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.ListDevicesResponse
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.LoggingRequest
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.LoggingResponse
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.MakeCallableRequest
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.MakeCallableResponse
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.PartialRunSetupRequest
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.PartialRunSetupResponse
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.RecvBufResponse
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.RecvTensorRequest
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.RecvTensorResponse
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.RegisterGraphRequest
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.RegisterGraphResponse
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.ReleaseCallableRequest
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.ReleaseCallableResponse
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.ResetRequest
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.ResetResponse
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.RunCallableRequest
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.RunCallableResponse
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.RunGraphResponse
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.RunStepRequest
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.RunStepResponse
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.ServerDef
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.StepSequence
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.TraceOpts
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.TracingRequest
-
- getParserForType() - 类 中的方法org.tensorflow.distruntime.TracingResponse
-
- getParserForType() - 类 中的方法org.tensorflow.example.BytesList
-
- getParserForType() - 类 中的方法org.tensorflow.example.Example
-
- getParserForType() - 类 中的方法org.tensorflow.example.ExampleParserConfiguration
-
- getParserForType() - 类 中的方法org.tensorflow.example.Feature
-
- getParserForType() - 类 中的方法org.tensorflow.example.FeatureConfiguration
-
- getParserForType() - 类 中的方法org.tensorflow.example.FeatureList
-
- getParserForType() - 类 中的方法org.tensorflow.example.FeatureLists
-
- getParserForType() - 类 中的方法org.tensorflow.example.Features
-
- getParserForType() - 类 中的方法org.tensorflow.example.FixedLenFeatureProto
-
- getParserForType() - 类 中的方法org.tensorflow.example.FloatList
-
- getParserForType() - 类 中的方法org.tensorflow.example.Int64List
-
- getParserForType() - 类 中的方法org.tensorflow.example.SequenceExample
-
- getParserForType() - 类 中的方法org.tensorflow.example.VarLenFeatureProto
-
- getParserForType() - 类 中的方法org.tensorflow.framework.AllocationDescription
-
- getParserForType() - 类 中的方法org.tensorflow.framework.AllocationRecord
-
- getParserForType() - 类 中的方法org.tensorflow.framework.AllocatorMemoryUsed
-
- getParserForType() - 类 中的方法org.tensorflow.framework.ApiDef.Arg
-
- getParserForType() - 类 中的方法org.tensorflow.framework.ApiDef.Attr
-
- getParserForType() - 类 中的方法org.tensorflow.framework.ApiDef.Endpoint
-
- getParserForType() - 类 中的方法org.tensorflow.framework.ApiDef
-
- getParserForType() - 类 中的方法org.tensorflow.framework.ApiDefs
-
- getParserForType() - 类 中的方法org.tensorflow.framework.AssetFileDef
-
- getParserForType() - 类 中的方法org.tensorflow.framework.AttrValue
-
- getParserForType() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue
-
- getParserForType() - 类 中的方法org.tensorflow.framework.AutoParallelOptions
-
- getParserForType() - 类 中的方法org.tensorflow.framework.CallableOptions
-
- getParserForType() - 类 中的方法org.tensorflow.framework.CollectionDef.AnyList
-
- getParserForType() - 类 中的方法org.tensorflow.framework.CollectionDef.BytesList
-
- getParserForType() - 类 中的方法org.tensorflow.framework.CollectionDef.FloatList
-
- getParserForType() - 类 中的方法org.tensorflow.framework.CollectionDef
-
- getParserForType() - 类 中的方法org.tensorflow.framework.CollectionDef.Int64List
-
- getParserForType() - 类 中的方法org.tensorflow.framework.CollectionDef.NodeList
-
- getParserForType() - 类 中的方法org.tensorflow.framework.CondContextDef
-
- getParserForType() - 类 中的方法org.tensorflow.framework.ConfigProto.Experimental
-
- getParserForType() - 类 中的方法org.tensorflow.framework.ConfigProto
-
- getParserForType() - 类 中的方法org.tensorflow.framework.ControlFlowContextDef
-
- getParserForType() - 类 中的方法org.tensorflow.framework.CostGraphDef
-
- getParserForType() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node
-
- getParserForType() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo
-
- getParserForType() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
- getParserForType() - 类 中的方法org.tensorflow.framework.CriticalSectionDef
-
- getParserForType() - 类 中的方法org.tensorflow.framework.CriticalSectionExecutionDef
-
- getParserForType() - 类 中的方法org.tensorflow.framework.DebuggedSourceFile
-
- getParserForType() - 类 中的方法org.tensorflow.framework.DebuggedSourceFiles
-
- getParserForType() - 类 中的方法org.tensorflow.framework.DebugOptions
-
- getParserForType() - 类 中的方法org.tensorflow.framework.DebugTensorWatch
-
- getParserForType() - 类 中的方法org.tensorflow.framework.DeviceAttributes
-
- getParserForType() - 类 中的方法org.tensorflow.framework.DeviceLocality
-
- getParserForType() - 类 中的方法org.tensorflow.framework.DeviceStepStats
-
- getParserForType() - 类 中的方法org.tensorflow.framework.FunctionDef
-
- getParserForType() - 类 中的方法org.tensorflow.framework.FunctionDefLibrary
-
- getParserForType() - 类 中的方法org.tensorflow.framework.GPUOptions.Experimental
-
- getParserForType() - 类 中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
-
- getParserForType() - 类 中的方法org.tensorflow.framework.GPUOptions
-
- getParserForType() - 类 中的方法org.tensorflow.framework.GradientDef
-
- getParserForType() - 类 中的方法org.tensorflow.framework.GraphDef
-
- getParserForType() - 类 中的方法org.tensorflow.framework.GraphOptions
-
- getParserForType() - 类 中的方法org.tensorflow.framework.GraphTransferConstNodeInfo
-
- getParserForType() - 类 中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
-
- getParserForType() - 类 中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
-
- getParserForType() - 类 中的方法org.tensorflow.framework.GraphTransferInfo
-
- getParserForType() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInfo
-
- getParserForType() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInput
-
- getParserForType() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInputInfo
-
- getParserForType() - 类 中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo
-
- getParserForType() - 类 中的方法org.tensorflow.framework.HistogramProto
-
- getParserForType() - 类 中的方法org.tensorflow.framework.InterconnectLink
-
- getParserForType() - 类 中的方法org.tensorflow.framework.KernelDef.AttrConstraint
-
- getParserForType() - 类 中的方法org.tensorflow.framework.KernelDef
-
- getParserForType() - 类 中的方法org.tensorflow.framework.KernelList
-
- getParserForType() - 类 中的方法org.tensorflow.framework.LocalLinks
-
- getParserForType() - 类 中的方法org.tensorflow.framework.MemoryLogRawAllocation
-
- getParserForType() - 类 中的方法org.tensorflow.framework.MemoryLogRawDeallocation
-
- getParserForType() - 类 中的方法org.tensorflow.framework.MemoryLogStep
-
- getParserForType() - 类 中的方法org.tensorflow.framework.MemoryLogTensorAllocation
-
- getParserForType() - 类 中的方法org.tensorflow.framework.MemoryLogTensorDeallocation
-
- getParserForType() - 类 中的方法org.tensorflow.framework.MemoryLogTensorOutput
-
- getParserForType() - 类 中的方法org.tensorflow.framework.MemoryStats
-
- getParserForType() - 类 中的方法org.tensorflow.framework.MetaGraphDef
-
- getParserForType() - 类 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
- getParserForType() - 类 中的方法org.tensorflow.framework.NameAttrList
-
- getParserForType() - 类 中的方法org.tensorflow.framework.NamedTensorProto
-
- getParserForType() - 类 中的方法org.tensorflow.framework.NodeDef
-
- getParserForType() - 类 中的方法org.tensorflow.framework.NodeExecStats
-
- getParserForType() - 类 中的方法org.tensorflow.framework.NodeOutput
-
- getParserForType() - 类 中的方法org.tensorflow.framework.OpDef.ArgDef
-
- getParserForType() - 类 中的方法org.tensorflow.framework.OpDef.AttrDef
-
- getParserForType() - 类 中的方法org.tensorflow.framework.OpDef
-
- getParserForType() - 类 中的方法org.tensorflow.framework.OpDeprecation
-
- getParserForType() - 类 中的方法org.tensorflow.framework.OpList
-
- getParserForType() - 类 中的方法org.tensorflow.framework.OptimizerOptions
-
- getParserForType() - 类 中的方法org.tensorflow.framework.QueueRunnerDef
-
- getParserForType() - 类 中的方法org.tensorflow.framework.ReaderBaseState
-
- getParserForType() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
- getParserForType() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
-
- getParserForType() - 类 中的方法org.tensorflow.framework.ResourceHandleProto
-
- getParserForType() - 类 中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
-
- getParserForType() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
- getParserForType() - 类 中的方法org.tensorflow.framework.RPCOptions
-
- getParserForType() - 类 中的方法org.tensorflow.framework.RunMetadata
-
- getParserForType() - 类 中的方法org.tensorflow.framework.RunOptions.Experimental
-
- getParserForType() - 类 中的方法org.tensorflow.framework.RunOptions
-
- getParserForType() - 类 中的方法org.tensorflow.framework.SavedModel
-
- getParserForType() - 类 中的方法org.tensorflow.framework.SaveSliceInfoDef
-
- getParserForType() - 类 中的方法org.tensorflow.framework.ScopedAllocatorOptions
-
- getParserForType() - 类 中的方法org.tensorflow.framework.SignatureDef
-
- getParserForType() - 类 中的方法org.tensorflow.framework.StepStats
-
- getParserForType() - 类 中的方法org.tensorflow.framework.Summary.Audio
-
- getParserForType() - 类 中的方法org.tensorflow.framework.Summary
-
- getParserForType() - 类 中的方法org.tensorflow.framework.Summary.Image
-
- getParserForType() - 类 中的方法org.tensorflow.framework.Summary.Value
-
- getParserForType() - 类 中的方法org.tensorflow.framework.SummaryDescription
-
- getParserForType() - 类 中的方法org.tensorflow.framework.SummaryMetadata
-
- getParserForType() - 类 中的方法org.tensorflow.framework.SummaryMetadata.PluginData
-
- getParserForType() - 类 中的方法org.tensorflow.framework.TensorConnection
-
- getParserForType() - 类 中的方法org.tensorflow.framework.TensorDescription
-
- getParserForType() - 类 中的方法org.tensorflow.framework.TensorInfo.CooSparse
-
- getParserForType() - 类 中的方法org.tensorflow.framework.TensorInfo
-
- getParserForType() - 类 中的方法org.tensorflow.framework.TensorProto
-
- getParserForType() - 类 中的方法org.tensorflow.framework.TensorShapeProto.Dim
-
- getParserForType() - 类 中的方法org.tensorflow.framework.TensorShapeProto
-
- getParserForType() - 类 中的方法org.tensorflow.framework.TensorSliceProto.Extent
-
- getParserForType() - 类 中的方法org.tensorflow.framework.TensorSliceProto
-
- getParserForType() - 类 中的方法org.tensorflow.framework.ThreadPoolOptionProto
-
- getParserForType() - 类 中的方法org.tensorflow.framework.ValuesDef
-
- getParserForType() - 类 中的方法org.tensorflow.framework.VariableDef
-
- getParserForType() - 类 中的方法org.tensorflow.framework.VariantTensorDataProto
-
- getParserForType() - 类 中的方法org.tensorflow.framework.VersionDef
-
- getParserForType() - 类 中的方法org.tensorflow.framework.WhileContextDef
-
- getParserForType() - 类 中的方法org.tensorflow.util.BundleEntryProto
-
- getParserForType() - 类 中的方法org.tensorflow.util.BundleHeaderProto
-
- getParserForType() - 类 中的方法org.tensorflow.util.IteratorStateMetadata
-
- getParserForType() - 类 中的方法org.tensorflow.util.SaverDef
-
- getParserForType() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
- getParserForType() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
-
- getParserForType() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
-
- getParserForType() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
-
- getParserForType() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
-
- getParserForType() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties
-
- getParserForType() - 类 中的方法tensorflow.DevicePropertiesProtos.NamedDevice
-
- getParserForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
-
- getParserForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
-
- getParserForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
-
- getParserForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
-
- getParserForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
-
- getParserForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
-
- getParserForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
-
- getParserForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
-
- getParserForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation
-
- getParserForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem
-
- getParserForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
-
- getParserForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
-
- getParserForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
-
- getParserForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
-
- getParserForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
-
- getParserForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse
-
- getParserForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
-
- getParserForType() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
-
- getParserForType() - 类 中的方法tensorflow.serving.Classification.Class
-
- getParserForType() - 类 中的方法tensorflow.serving.Classification.ClassificationRequest
-
- getParserForType() - 类 中的方法tensorflow.serving.Classification.ClassificationResponse
-
- getParserForType() - 类 中的方法tensorflow.serving.Classification.ClassificationResult
-
- getParserForType() - 类 中的方法tensorflow.serving.Classification.Classifications
-
- getParserForType() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
-
- getParserForType() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
-
- getParserForType() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All
-
- getParserForType() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
-
- getParserForType() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest
-
- getParserForType() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific
-
- getParserForType() - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
-
- getParserForType() - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
-
- getParserForType() - 类 中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap
-
- getParserForType() - 类 中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest
-
- getParserForType() - 类 中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
-
- getParserForType() - 类 中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus
-
- getParserForType() - 类 中的方法tensorflow.serving.Inference.InferenceResult
-
- getParserForType() - 类 中的方法tensorflow.serving.Inference.InferenceTask
-
- getParserForType() - 类 中的方法tensorflow.serving.Inference.MultiInferenceRequest
-
- getParserForType() - 类 中的方法tensorflow.serving.Inference.MultiInferenceResponse
-
- getParserForType() - 类 中的方法tensorflow.serving.InputOuterClass.ExampleList
-
- getParserForType() - 类 中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext
-
- getParserForType() - 类 中的方法tensorflow.serving.InputOuterClass.Input
-
- getParserForType() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList
-
- getParserForType() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
-
- getParserForType() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
-
- getParserForType() - 类 中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
-
- getParserForType() - 类 中的方法tensorflow.serving.Logging.LogMetadata
-
- getParserForType() - 类 中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
-
- getParserForType() - 类 中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig
-
- getParserForType() - 类 中的方法tensorflow.serving.Model.ModelSpec
-
- getParserForType() - 类 中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest
-
- getParserForType() - 类 中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse
-
- getParserForType() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
-
- getParserForType() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
-
- getParserForType() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
-
- getParserForType() - 类 中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig
-
- getParserForType() - 类 中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
-
- getParserForType() - 类 中的方法tensorflow.serving.Predict.PredictRequest
-
- getParserForType() - 类 中的方法tensorflow.serving.Predict.PredictResponse
-
- getParserForType() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog
-
- getParserForType() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
-
- getParserForType() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
-
- getParserForType() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog
-
- getParserForType() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog
-
- getParserForType() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog
-
- getParserForType() - 类 中的方法tensorflow.serving.RegressionOuterClass.Regression
-
- getParserForType() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest
-
- getParserForType() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse
-
- getParserForType() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionResult
-
- getParserForType() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
-
- getParserForType() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
-
- getParserForType() - 类 中的方法tensorflow.serving.SslConfig.SSLConfig
-
- getParserForType() - 类 中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
-
- getParserForType() - 类 中的方法tensorflow.serving.Status.StatusProto
-
- getParserForType() - 类 中的方法tensorflow.TransportOptions.RecvBufRespExtra
-
- getPartialRunHandle() - 类 中的方法org.tensorflow.distruntime.PartialRunSetupResponse.Builder
-
The unique handle corresponding to the ongoing partial run call setup by
the invocation to PartialRunSetup.
- getPartialRunHandle() - 类 中的方法org.tensorflow.distruntime.PartialRunSetupResponse
-
The unique handle corresponding to the ongoing partial run call setup by
the invocation to PartialRunSetup.
- getPartialRunHandle() - 接口 中的方法org.tensorflow.distruntime.PartialRunSetupResponseOrBuilder
-
The unique handle corresponding to the ongoing partial run call setup by
the invocation to PartialRunSetup.
- getPartialRunHandle() - 类 中的方法org.tensorflow.distruntime.RunStepRequest.Builder
-
Partial run handle (optional).
- getPartialRunHandle() - 类 中的方法org.tensorflow.distruntime.RunStepRequest
-
Partial run handle (optional).
- getPartialRunHandle() - 接口 中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder
-
Partial run handle (optional).
- getPartialRunHandleBytes() - 类 中的方法org.tensorflow.distruntime.PartialRunSetupResponse.Builder
-
The unique handle corresponding to the ongoing partial run call setup by
the invocation to PartialRunSetup.
- getPartialRunHandleBytes() - 类 中的方法org.tensorflow.distruntime.PartialRunSetupResponse
-
The unique handle corresponding to the ongoing partial run call setup by
the invocation to PartialRunSetup.
- getPartialRunHandleBytes() - 接口 中的方法org.tensorflow.distruntime.PartialRunSetupResponseOrBuilder
-
The unique handle corresponding to the ongoing partial run call setup by
the invocation to PartialRunSetup.
- getPartialRunHandleBytes() - 类 中的方法org.tensorflow.distruntime.RunStepRequest.Builder
-
Partial run handle (optional).
- getPartialRunHandleBytes() - 类 中的方法org.tensorflow.distruntime.RunStepRequest
-
Partial run handle (optional).
- getPartialRunHandleBytes() - 接口 中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder
-
Partial run handle (optional).
- getPartialRunSetupMethod() - 类 中的静态方法org.tensorflow.distruntime.MasterServiceGrpc
-
- getPartitionGraph(int) - 类 中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
-
repeated .tensorflow.GraphDef partition_graph = 4;
- getPartitionGraph(int) - 类 中的方法org.tensorflow.distruntime.RunGraphResponse
-
repeated .tensorflow.GraphDef partition_graph = 4;
- getPartitionGraph(int) - 接口 中的方法org.tensorflow.distruntime.RunGraphResponseOrBuilder
-
repeated .tensorflow.GraphDef partition_graph = 4;
- getPartitionGraphBuilder(int) - 类 中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
-
repeated .tensorflow.GraphDef partition_graph = 4;
- getPartitionGraphBuilderList() - 类 中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
-
repeated .tensorflow.GraphDef partition_graph = 4;
- getPartitionGraphCount() - 类 中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
-
repeated .tensorflow.GraphDef partition_graph = 4;
- getPartitionGraphCount() - 类 中的方法org.tensorflow.distruntime.RunGraphResponse
-
repeated .tensorflow.GraphDef partition_graph = 4;
- getPartitionGraphCount() - 接口 中的方法org.tensorflow.distruntime.RunGraphResponseOrBuilder
-
repeated .tensorflow.GraphDef partition_graph = 4;
- getPartitionGraphList() - 类 中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
-
repeated .tensorflow.GraphDef partition_graph = 4;
- getPartitionGraphList() - 类 中的方法org.tensorflow.distruntime.RunGraphResponse
-
repeated .tensorflow.GraphDef partition_graph = 4;
- getPartitionGraphList() - 接口 中的方法org.tensorflow.distruntime.RunGraphResponseOrBuilder
-
repeated .tensorflow.GraphDef partition_graph = 4;
- getPartitionGraphOrBuilder(int) - 类 中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
-
repeated .tensorflow.GraphDef partition_graph = 4;
- getPartitionGraphOrBuilder(int) - 类 中的方法org.tensorflow.distruntime.RunGraphResponse
-
repeated .tensorflow.GraphDef partition_graph = 4;
- getPartitionGraphOrBuilder(int) - 接口 中的方法org.tensorflow.distruntime.RunGraphResponseOrBuilder
-
repeated .tensorflow.GraphDef partition_graph = 4;
- getPartitionGraphOrBuilderList() - 类 中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
-
repeated .tensorflow.GraphDef partition_graph = 4;
- getPartitionGraphOrBuilderList() - 类 中的方法org.tensorflow.distruntime.RunGraphResponse
-
repeated .tensorflow.GraphDef partition_graph = 4;
- getPartitionGraphOrBuilderList() - 接口 中的方法org.tensorflow.distruntime.RunGraphResponseOrBuilder
-
repeated .tensorflow.GraphDef partition_graph = 4;
- getPartitionGraphs(int) - 类 中的方法org.tensorflow.framework.RunMetadata.Builder
-
Graphs of the partitions executed by executors.
- getPartitionGraphs(int) - 类 中的方法org.tensorflow.framework.RunMetadata
-
Graphs of the partitions executed by executors.
- getPartitionGraphs(int) - 接口 中的方法org.tensorflow.framework.RunMetadataOrBuilder
-
Graphs of the partitions executed by executors.
- getPartitionGraphsBuilder(int) - 类 中的方法org.tensorflow.framework.RunMetadata.Builder
-
Graphs of the partitions executed by executors.
- getPartitionGraphsBuilderList() - 类 中的方法org.tensorflow.framework.RunMetadata.Builder
-
Graphs of the partitions executed by executors.
- getPartitionGraphsCount() - 类 中的方法org.tensorflow.framework.RunMetadata.Builder
-
Graphs of the partitions executed by executors.
- getPartitionGraphsCount() - 类 中的方法org.tensorflow.framework.RunMetadata
-
Graphs of the partitions executed by executors.
- getPartitionGraphsCount() - 接口 中的方法org.tensorflow.framework.RunMetadataOrBuilder
-
Graphs of the partitions executed by executors.
- getPartitionGraphsList() - 类 中的方法org.tensorflow.framework.RunMetadata.Builder
-
Graphs of the partitions executed by executors.
- getPartitionGraphsList() - 类 中的方法org.tensorflow.framework.RunMetadata
-
Graphs of the partitions executed by executors.
- getPartitionGraphsList() - 接口 中的方法org.tensorflow.framework.RunMetadataOrBuilder
-
Graphs of the partitions executed by executors.
- getPartitionGraphsOrBuilder(int) - 类 中的方法org.tensorflow.framework.RunMetadata.Builder
-
Graphs of the partitions executed by executors.
- getPartitionGraphsOrBuilder(int) - 类 中的方法org.tensorflow.framework.RunMetadata
-
Graphs of the partitions executed by executors.
- getPartitionGraphsOrBuilder(int) - 接口 中的方法org.tensorflow.framework.RunMetadataOrBuilder
-
Graphs of the partitions executed by executors.
- getPartitionGraphsOrBuilderList() - 类 中的方法org.tensorflow.framework.RunMetadata.Builder
-
Graphs of the partitions executed by executors.
- getPartitionGraphsOrBuilderList() - 类 中的方法org.tensorflow.framework.RunMetadata
-
Graphs of the partitions executed by executors.
- getPartitionGraphsOrBuilderList() - 接口 中的方法org.tensorflow.framework.RunMetadataOrBuilder
-
Graphs of the partitions executed by executors.
- getPeakBytes() - 类 中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
int64 peak_bytes = 3;
- getPeakBytes() - 类 中的方法org.tensorflow.framework.AllocatorMemoryUsed
-
int64 peak_bytes = 3;
- getPeakBytes() - 接口 中的方法org.tensorflow.framework.AllocatorMemoryUsedOrBuilder
-
int64 peak_bytes = 3;
- getPerProcessGpuMemoryFraction() - 类 中的方法org.tensorflow.framework.GPUOptions.Builder
-
Fraction of the available GPU memory to allocate for each process.
1 means to allocate all of the GPU memory, 0.5 means the process
allocates up to ~50% of the available GPU memory.
- getPerProcessGpuMemoryFraction() - 类 中的方法org.tensorflow.framework.GPUOptions
-
Fraction of the available GPU memory to allocate for each process.
1 means to allocate all of the GPU memory, 0.5 means the process
allocates up to ~50% of the available GPU memory.
- getPerProcessGpuMemoryFraction() - 接口 中的方法org.tensorflow.framework.GPUOptionsOrBuilder
-
Fraction of the available GPU memory to allocate for each process.
1 means to allocate all of the GPU memory, 0.5 means the process
allocates up to ~50% of the available GPU memory.
- getPersistentMemorySize() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
-
Persistent memory used by this node.
- getPersistentMemorySize() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node
-
Persistent memory used by this node.
- getPersistentMemorySize() - 接口 中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
Persistent memory used by this node.
- getPersistentMemorySize() - 类 中的方法org.tensorflow.framework.MemoryStats.Builder
-
int64 persistent_memory_size = 3;
- getPersistentMemorySize() - 类 中的方法org.tensorflow.framework.MemoryStats
-
int64 persistent_memory_size = 3;
- getPersistentMemorySize() - 接口 中的方法org.tensorflow.framework.MemoryStatsOrBuilder
-
int64 persistent_memory_size = 3;
- getPersistentTensorAllocIds(int) - 类 中的方法org.tensorflow.framework.MemoryStats.Builder
-
repeated int64 persistent_tensor_alloc_ids = 5;
- getPersistentTensorAllocIds(int) - 类 中的方法org.tensorflow.framework.MemoryStats
-
repeated int64 persistent_tensor_alloc_ids = 5;
- getPersistentTensorAllocIds(int) - 接口 中的方法org.tensorflow.framework.MemoryStatsOrBuilder
-
repeated int64 persistent_tensor_alloc_ids = 5;
- getPersistentTensorAllocIdsCount() - 类 中的方法org.tensorflow.framework.MemoryStats.Builder
-
repeated int64 persistent_tensor_alloc_ids = 5;
- getPersistentTensorAllocIdsCount() - 类 中的方法org.tensorflow.framework.MemoryStats
-
repeated int64 persistent_tensor_alloc_ids = 5;
- getPersistentTensorAllocIdsCount() - 接口 中的方法org.tensorflow.framework.MemoryStatsOrBuilder
-
repeated int64 persistent_tensor_alloc_ids = 5;
- getPersistentTensorAllocIdsList() - 类 中的方法org.tensorflow.framework.MemoryStats.Builder
-
repeated int64 persistent_tensor_alloc_ids = 5;
- getPersistentTensorAllocIdsList() - 类 中的方法org.tensorflow.framework.MemoryStats
-
repeated int64 persistent_tensor_alloc_ids = 5;
- getPersistentTensorAllocIdsList() - 接口 中的方法org.tensorflow.framework.MemoryStatsOrBuilder
-
repeated int64 persistent_tensor_alloc_ids = 5;
- getPhysicalDeviceDesc() - 类 中的方法org.tensorflow.framework.DeviceAttributes.Builder
-
String representation of the physical device that this device maps to.
- getPhysicalDeviceDesc() - 类 中的方法org.tensorflow.framework.DeviceAttributes
-
String representation of the physical device that this device maps to.
- getPhysicalDeviceDesc() - 接口 中的方法org.tensorflow.framework.DeviceAttributesOrBuilder
-
String representation of the physical device that this device maps to.
- getPhysicalDeviceDescBytes() - 类 中的方法org.tensorflow.framework.DeviceAttributes.Builder
-
String representation of the physical device that this device maps to.
- getPhysicalDeviceDescBytes() - 类 中的方法org.tensorflow.framework.DeviceAttributes
-
String representation of the physical device that this device maps to.
- getPhysicalDeviceDescBytes() - 接口 中的方法org.tensorflow.framework.DeviceAttributesOrBuilder
-
String representation of the physical device that this device maps to.
- getPivotForBodyName() - 类 中的方法org.tensorflow.framework.WhileContextDef.Builder
-
Name of the pivot_for_body tensor.
- getPivotForBodyName() - 类 中的方法org.tensorflow.framework.WhileContextDef
-
Name of the pivot_for_body tensor.
- getPivotForBodyName() - 接口 中的方法org.tensorflow.framework.WhileContextDefOrBuilder
-
Name of the pivot_for_body tensor.
- getPivotForBodyNameBytes() - 类 中的方法org.tensorflow.framework.WhileContextDef.Builder
-
Name of the pivot_for_body tensor.
- getPivotForBodyNameBytes() - 类 中的方法org.tensorflow.framework.WhileContextDef
-
Name of the pivot_for_body tensor.
- getPivotForBodyNameBytes() - 接口 中的方法org.tensorflow.framework.WhileContextDefOrBuilder
-
Name of the pivot_for_body tensor.
- getPivotForPredName() - 类 中的方法org.tensorflow.framework.WhileContextDef.Builder
-
Name of the pivot_for_pred tensor.
- getPivotForPredName() - 类 中的方法org.tensorflow.framework.WhileContextDef
-
Name of the pivot_for_pred tensor.
- getPivotForPredName() - 接口 中的方法org.tensorflow.framework.WhileContextDefOrBuilder
-
Name of the pivot_for_pred tensor.
- getPivotForPredNameBytes() - 类 中的方法org.tensorflow.framework.WhileContextDef.Builder
-
Name of the pivot_for_pred tensor.
- getPivotForPredNameBytes() - 类 中的方法org.tensorflow.framework.WhileContextDef
-
Name of the pivot_for_pred tensor.
- getPivotForPredNameBytes() - 接口 中的方法org.tensorflow.framework.WhileContextDefOrBuilder
-
Name of the pivot_for_pred tensor.
- getPivotName() - 类 中的方法org.tensorflow.framework.CondContextDef.Builder
-
Name of the pivot tensor.
- getPivotName() - 类 中的方法org.tensorflow.framework.CondContextDef
-
Name of the pivot tensor.
- getPivotName() - 接口 中的方法org.tensorflow.framework.CondContextDefOrBuilder
-
Name of the pivot tensor.
- getPivotName() - 类 中的方法org.tensorflow.framework.WhileContextDef.Builder
-
Name of the pivot tensor.
- getPivotName() - 类 中的方法org.tensorflow.framework.WhileContextDef
-
Name of the pivot tensor.
- getPivotName() - 接口 中的方法org.tensorflow.framework.WhileContextDefOrBuilder
-
Name of the pivot tensor.
- getPivotNameBytes() - 类 中的方法org.tensorflow.framework.CondContextDef.Builder
-
Name of the pivot tensor.
- getPivotNameBytes() - 类 中的方法org.tensorflow.framework.CondContextDef
-
Name of the pivot tensor.
- getPivotNameBytes() - 接口 中的方法org.tensorflow.framework.CondContextDefOrBuilder
-
Name of the pivot tensor.
- getPivotNameBytes() - 类 中的方法org.tensorflow.framework.WhileContextDef.Builder
-
Name of the pivot tensor.
- getPivotNameBytes() - 类 中的方法org.tensorflow.framework.WhileContextDef
-
Name of the pivot tensor.
- getPivotNameBytes() - 接口 中的方法org.tensorflow.framework.WhileContextDefOrBuilder
-
Name of the pivot tensor.
- getPlaceholder() - 类 中的方法org.tensorflow.framework.AttrValue.Builder
-
This is a placeholder only used in nodes defined inside a
function.
- getPlaceholder() - 类 中的方法org.tensorflow.framework.AttrValue
-
This is a placeholder only used in nodes defined inside a
function.
- getPlaceholder() - 接口 中的方法org.tensorflow.framework.AttrValueOrBuilder
-
This is a placeholder only used in nodes defined inside a
function.
- getPlaceholderBytes() - 类 中的方法org.tensorflow.framework.AttrValue.Builder
-
This is a placeholder only used in nodes defined inside a
function.
- getPlaceholderBytes() - 类 中的方法org.tensorflow.framework.AttrValue
-
This is a placeholder only used in nodes defined inside a
function.
- getPlaceholderBytes() - 接口 中的方法org.tensorflow.framework.AttrValueOrBuilder
-
This is a placeholder only used in nodes defined inside a
function.
- getPlacementPeriod() - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
Assignment of Nodes to Devices is recomputed every placement_period
steps until the system warms up (at which point the recomputation
typically slows down automatically).
- getPlacementPeriod() - 类 中的方法org.tensorflow.framework.ConfigProto
-
Assignment of Nodes to Devices is recomputed every placement_period
steps until the system warms up (at which point the recomputation
typically slows down automatically).
- getPlacementPeriod() - 接口 中的方法org.tensorflow.framework.ConfigProtoOrBuilder
-
Assignment of Nodes to Devices is recomputed every placement_period
steps until the system warms up (at which point the recomputation
typically slows down automatically).
- getPlacePrunedGraph() - 类 中的方法org.tensorflow.framework.GraphOptions.Builder
-
Only place the subgraphs that are run, rather than the entire graph.
- getPlacePrunedGraph() - 类 中的方法org.tensorflow.framework.GraphOptions
-
Only place the subgraphs that are run, rather than the entire graph.
- getPlacePrunedGraph() - 接口 中的方法org.tensorflow.framework.GraphOptionsOrBuilder
-
Only place the subgraphs that are run, rather than the entire graph.
- getPlatformConfigs() - 类 中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder
-
已过时。
- getPlatformConfigs() - 类 中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
-
已过时。
- getPlatformConfigs() - 接口 中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMapOrBuilder
-
已过时。
- getPlatformConfigsCount() - 类 中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder
-
- getPlatformConfigsCount() - 类 中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
-
- getPlatformConfigsCount() - 接口 中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMapOrBuilder
-
A map from a platform name to a platform config.
- getPlatformConfigsMap() - 类 中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder
-
A map from a platform name to a platform config.
- getPlatformConfigsMap() - 类 中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
-
A map from a platform name to a platform config.
- getPlatformConfigsMap() - 接口 中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMapOrBuilder
-
A map from a platform name to a platform config.
- getPlatformConfigsOrDefault(String, PlatformConfigOuterClass.PlatformConfig) - 类 中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder
-
A map from a platform name to a platform config.
- getPlatformConfigsOrDefault(String, PlatformConfigOuterClass.PlatformConfig) - 类 中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
-
A map from a platform name to a platform config.
- getPlatformConfigsOrDefault(String, PlatformConfigOuterClass.PlatformConfig) - 接口 中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMapOrBuilder
-
A map from a platform name to a platform config.
- getPlatformConfigsOrThrow(String) - 类 中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap.Builder
-
A map from a platform name to a platform config.
- getPlatformConfigsOrThrow(String) - 类 中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
-
A map from a platform name to a platform config.
- getPlatformConfigsOrThrow(String) - 接口 中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMapOrBuilder
-
A map from a platform name to a platform config.
- getPluginData() - 类 中的方法org.tensorflow.framework.SummaryMetadata.Builder
-
Data that associates a summary with a certain plugin.
- getPluginData() - 类 中的方法org.tensorflow.framework.SummaryMetadata
-
Data that associates a summary with a certain plugin.
- getPluginData() - 接口 中的方法org.tensorflow.framework.SummaryMetadataOrBuilder
-
Data that associates a summary with a certain plugin.
- getPluginDataBuilder() - 类 中的方法org.tensorflow.framework.SummaryMetadata.Builder
-
Data that associates a summary with a certain plugin.
- getPluginDataOrBuilder() - 类 中的方法org.tensorflow.framework.SummaryMetadata.Builder
-
Data that associates a summary with a certain plugin.
- getPluginDataOrBuilder() - 类 中的方法org.tensorflow.framework.SummaryMetadata
-
Data that associates a summary with a certain plugin.
- getPluginDataOrBuilder() - 接口 中的方法org.tensorflow.framework.SummaryMetadataOrBuilder
-
Data that associates a summary with a certain plugin.
- getPluginName() - 类 中的方法org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
The name of the plugin this data pertains to.
- getPluginName() - 类 中的方法org.tensorflow.framework.SummaryMetadata.PluginData
-
The name of the plugin this data pertains to.
- getPluginName() - 接口 中的方法org.tensorflow.framework.SummaryMetadata.PluginDataOrBuilder
-
The name of the plugin this data pertains to.
- getPluginNameBytes() - 类 中的方法org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
The name of the plugin this data pertains to.
- getPluginNameBytes() - 类 中的方法org.tensorflow.framework.SummaryMetadata.PluginData
-
The name of the plugin this data pertains to.
- getPluginNameBytes() - 接口 中的方法org.tensorflow.framework.SummaryMetadata.PluginDataOrBuilder
-
The name of the plugin this data pertains to.
- getPolicyChoiceCase() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder
-
- getPolicyChoiceCase() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
-
- getPolicyChoiceCase() - 接口 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicyOrBuilder
-
- getPollingActiveDelayUsecs() - 类 中的方法org.tensorflow.framework.GPUOptions.Builder
-
In the event polling loop sleep this many microseconds between
PollEvents calls, when the queue is not empty.
- getPollingActiveDelayUsecs() - 类 中的方法org.tensorflow.framework.GPUOptions
-
In the event polling loop sleep this many microseconds between
PollEvents calls, when the queue is not empty.
- getPollingActiveDelayUsecs() - 接口 中的方法org.tensorflow.framework.GPUOptionsOrBuilder
-
In the event polling loop sleep this many microseconds between
PollEvents calls, when the queue is not empty.
- getPollingInactiveDelayMsecs() - 类 中的方法org.tensorflow.framework.GPUOptions.Builder
-
This field is deprecated and ignored.
- getPollingInactiveDelayMsecs() - 类 中的方法org.tensorflow.framework.GPUOptions
-
This field is deprecated and ignored.
- getPollingInactiveDelayMsecs() - 接口 中的方法org.tensorflow.framework.GPUOptionsOrBuilder
-
This field is deprecated and ignored.
- getPrecedingNode() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
-
int32 preceding_node = 1;
- getPrecedingNode() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo
-
int32 preceding_node = 1;
- getPrecedingNode() - 接口 中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfoOrBuilder
-
int32 preceding_node = 1;
- getPrecedingPort() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
-
int32 preceding_port = 2;
- getPrecedingPort() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo
-
int32 preceding_port = 2;
- getPrecedingPort() - 接口 中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfoOrBuilder
-
int32 preceding_port = 2;
- getPredictLog() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
-
.tensorflow.serving.PredictLog predict_log = 6;
- getPredictLog() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
-
.tensorflow.serving.PredictLog predict_log = 6;
- getPredictLog() - 接口 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLogOrBuilder
-
.tensorflow.serving.PredictLog predict_log = 6;
- getPredictLogBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
-
.tensorflow.serving.PredictLog predict_log = 6;
- getPredictLogOrBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
-
.tensorflow.serving.PredictLog predict_log = 6;
- getPredictLogOrBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
-
.tensorflow.serving.PredictLog predict_log = 6;
- getPredictLogOrBuilder() - 接口 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLogOrBuilder
-
.tensorflow.serving.PredictLog predict_log = 6;
- getPredictMethod() - 类 中的静态方法tensorflow.serving.PredictionServiceGrpc
-
- getPredName() - 类 中的方法org.tensorflow.framework.CondContextDef.Builder
-
Name of the pred tensor.
- getPredName() - 类 中的方法org.tensorflow.framework.CondContextDef
-
Name of the pred tensor.
- getPredName() - 接口 中的方法org.tensorflow.framework.CondContextDefOrBuilder
-
Name of the pred tensor.
- getPredNameBytes() - 类 中的方法org.tensorflow.framework.CondContextDef.Builder
-
Name of the pred tensor.
- getPredNameBytes() - 类 中的方法org.tensorflow.framework.CondContextDef
-
Name of the pred tensor.
- getPredNameBytes() - 接口 中的方法org.tensorflow.framework.CondContextDefOrBuilder
-
Name of the pred tensor.
- getProducer() - 类 中的方法org.tensorflow.framework.VersionDef.Builder
-
The version of the code that produced this data.
- getProducer() - 类 中的方法org.tensorflow.framework.VersionDef
-
The version of the code that produced this data.
- getProducer() - 接口 中的方法org.tensorflow.framework.VersionDefOrBuilder
-
The version of the code that produced this data.
- getProperties() - 类 中的方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder
-
.tensorflow.DeviceProperties properties = 2;
- getProperties() - 类 中的方法tensorflow.DevicePropertiesProtos.NamedDevice
-
.tensorflow.DeviceProperties properties = 2;
- getProperties() - 接口 中的方法tensorflow.DevicePropertiesProtos.NamedDeviceOrBuilder
-
.tensorflow.DeviceProperties properties = 2;
- getPropertiesBuilder() - 类 中的方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder
-
.tensorflow.DeviceProperties properties = 2;
- getPropertiesOrBuilder() - 类 中的方法tensorflow.DevicePropertiesProtos.NamedDevice.Builder
-
.tensorflow.DeviceProperties properties = 2;
- getPropertiesOrBuilder() - 类 中的方法tensorflow.DevicePropertiesProtos.NamedDevice
-
.tensorflow.DeviceProperties properties = 2;
- getPropertiesOrBuilder() - 接口 中的方法tensorflow.DevicePropertiesProtos.NamedDeviceOrBuilder
-
.tensorflow.DeviceProperties properties = 2;
- getProtocol() - 类 中的方法org.tensorflow.distruntime.ServerDef.Builder
-
The protocol to be used by this server.
- getProtocol() - 类 中的方法org.tensorflow.distruntime.ServerDef
-
The protocol to be used by this server.
- getProtocol() - 接口 中的方法org.tensorflow.distruntime.ServerDefOrBuilder
-
The protocol to be used by this server.
- getProtocolBytes() - 类 中的方法org.tensorflow.distruntime.ServerDef.Builder
-
The protocol to be used by this server.
- getProtocolBytes() - 类 中的方法org.tensorflow.distruntime.ServerDef
-
The protocol to be used by this server.
- getProtocolBytes() - 接口 中的方法org.tensorflow.distruntime.ServerDefOrBuilder
-
The protocol to be used by this server.
- getPtr() - 类 中的方法org.tensorflow.framework.AllocationDescription.Builder
-
Address of the allocation.
- getPtr() - 类 中的方法org.tensorflow.framework.AllocationDescription
-
Address of the allocation.
- getPtr() - 接口 中的方法org.tensorflow.framework.AllocationDescriptionOrBuilder
-
Address of the allocation.
- getPtr() - 类 中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Address of the allocation.
- getPtr() - 类 中的方法org.tensorflow.framework.MemoryLogRawAllocation
-
Address of the allocation.
- getPtr() - 接口 中的方法org.tensorflow.framework.MemoryLogRawAllocationOrBuilder
-
Address of the allocation.
- getQueue(int) - 类 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
-
repeated .tensorflow.eager.QueueItem queue = 3;
- getQueue(int) - 类 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
-
repeated .tensorflow.eager.QueueItem queue = 3;
- getQueue(int) - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequestOrBuilder
-
repeated .tensorflow.eager.QueueItem queue = 3;
- getQueueBuilder(int) - 类 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
-
repeated .tensorflow.eager.QueueItem queue = 3;
- getQueueBuilderList() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
-
repeated .tensorflow.eager.QueueItem queue = 3;
- getQueueClosedExceptionTypes(int) - 类 中的方法org.tensorflow.framework.QueueRunnerDef.Builder
-
A list of exception types considered to signal a safely closed queue
if raised during enqueue operations.
- getQueueClosedExceptionTypes(int) - 类 中的方法org.tensorflow.framework.QueueRunnerDef
-
A list of exception types considered to signal a safely closed queue
if raised during enqueue operations.
- getQueueClosedExceptionTypes(int) - 接口 中的方法org.tensorflow.framework.QueueRunnerDefOrBuilder
-
A list of exception types considered to signal a safely closed queue
if raised during enqueue operations.
- getQueueClosedExceptionTypesCount() - 类 中的方法org.tensorflow.framework.QueueRunnerDef.Builder
-
A list of exception types considered to signal a safely closed queue
if raised during enqueue operations.
- getQueueClosedExceptionTypesCount() - 类 中的方法org.tensorflow.framework.QueueRunnerDef
-
A list of exception types considered to signal a safely closed queue
if raised during enqueue operations.
- getQueueClosedExceptionTypesCount() - 接口 中的方法org.tensorflow.framework.QueueRunnerDefOrBuilder
-
A list of exception types considered to signal a safely closed queue
if raised during enqueue operations.
- getQueueClosedExceptionTypesList() - 类 中的方法org.tensorflow.framework.QueueRunnerDef.Builder
-
A list of exception types considered to signal a safely closed queue
if raised during enqueue operations.
- getQueueClosedExceptionTypesList() - 类 中的方法org.tensorflow.framework.QueueRunnerDef
-
A list of exception types considered to signal a safely closed queue
if raised during enqueue operations.
- getQueueClosedExceptionTypesList() - 接口 中的方法org.tensorflow.framework.QueueRunnerDefOrBuilder
-
A list of exception types considered to signal a safely closed queue
if raised during enqueue operations.
- getQueueClosedExceptionTypesValue(int) - 类 中的方法org.tensorflow.framework.QueueRunnerDef.Builder
-
A list of exception types considered to signal a safely closed queue
if raised during enqueue operations.
- getQueueClosedExceptionTypesValue(int) - 类 中的方法org.tensorflow.framework.QueueRunnerDef
-
A list of exception types considered to signal a safely closed queue
if raised during enqueue operations.
- getQueueClosedExceptionTypesValue(int) - 接口 中的方法org.tensorflow.framework.QueueRunnerDefOrBuilder
-
A list of exception types considered to signal a safely closed queue
if raised during enqueue operations.
- getQueueClosedExceptionTypesValueList() - 类 中的方法org.tensorflow.framework.QueueRunnerDef.Builder
-
A list of exception types considered to signal a safely closed queue
if raised during enqueue operations.
- getQueueClosedExceptionTypesValueList() - 类 中的方法org.tensorflow.framework.QueueRunnerDef
-
A list of exception types considered to signal a safely closed queue
if raised during enqueue operations.
- getQueueClosedExceptionTypesValueList() - 接口 中的方法org.tensorflow.framework.QueueRunnerDefOrBuilder
-
A list of exception types considered to signal a safely closed queue
if raised during enqueue operations.
- getQueueCount() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
-
repeated .tensorflow.eager.QueueItem queue = 3;
- getQueueCount() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
-
repeated .tensorflow.eager.QueueItem queue = 3;
- getQueueCount() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequestOrBuilder
-
repeated .tensorflow.eager.QueueItem queue = 3;
- getQueueList() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
-
repeated .tensorflow.eager.QueueItem queue = 3;
- getQueueList() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
-
repeated .tensorflow.eager.QueueItem queue = 3;
- getQueueList() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequestOrBuilder
-
repeated .tensorflow.eager.QueueItem queue = 3;
- getQueueName() - 类 中的方法org.tensorflow.framework.QueueRunnerDef.Builder
-
Queue name.
- getQueueName() - 类 中的方法org.tensorflow.framework.QueueRunnerDef
-
Queue name.
- getQueueName() - 接口 中的方法org.tensorflow.framework.QueueRunnerDefOrBuilder
-
Queue name.
- getQueueNameBytes() - 类 中的方法org.tensorflow.framework.QueueRunnerDef.Builder
-
Queue name.
- getQueueNameBytes() - 类 中的方法org.tensorflow.framework.QueueRunnerDef
-
Queue name.
- getQueueNameBytes() - 接口 中的方法org.tensorflow.framework.QueueRunnerDefOrBuilder
-
Queue name.
- getQueueOrBuilder(int) - 类 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
-
repeated .tensorflow.eager.QueueItem queue = 3;
- getQueueOrBuilder(int) - 类 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
-
repeated .tensorflow.eager.QueueItem queue = 3;
- getQueueOrBuilder(int) - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequestOrBuilder
-
repeated .tensorflow.eager.QueueItem queue = 3;
- getQueueOrBuilderList() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
-
repeated .tensorflow.eager.QueueItem queue = 3;
- getQueueOrBuilderList() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
-
repeated .tensorflow.eager.QueueItem queue = 3;
- getQueueOrBuilderList() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequestOrBuilder
-
repeated .tensorflow.eager.QueueItem queue = 3;
- getQueueResponse(int) - 类 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
-
A single operation response for every item in the request.
- getQueueResponse(int) - 类 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
-
A single operation response for every item in the request.
- getQueueResponse(int) - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponseOrBuilder
-
A single operation response for every item in the request.
- getQueueResponseBuilder(int) - 类 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
-
A single operation response for every item in the request.
- getQueueResponseBuilderList() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
-
A single operation response for every item in the request.
- getQueueResponseCount() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
-
A single operation response for every item in the request.
- getQueueResponseCount() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
-
A single operation response for every item in the request.
- getQueueResponseCount() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponseOrBuilder
-
A single operation response for every item in the request.
- getQueueResponseList() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
-
A single operation response for every item in the request.
- getQueueResponseList() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
-
A single operation response for every item in the request.
- getQueueResponseList() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponseOrBuilder
-
A single operation response for every item in the request.
- getQueueResponseOrBuilder(int) - 类 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
-
A single operation response for every item in the request.
- getQueueResponseOrBuilder(int) - 类 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
-
A single operation response for every item in the request.
- getQueueResponseOrBuilder(int) - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponseOrBuilder
-
A single operation response for every item in the request.
- getQueueResponseOrBuilderList() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
-
A single operation response for every item in the request.
- getQueueResponseOrBuilderList() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
-
A single operation response for every item in the request.
- getQueueResponseOrBuilderList() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponseOrBuilder
-
A single operation response for every item in the request.
- getRecordCosts() - 类 中的方法org.tensorflow.distruntime.ExecutorOpts.Builder
-
bool record_costs = 1;
- getRecordCosts() - 类 中的方法org.tensorflow.distruntime.ExecutorOpts
-
bool record_costs = 1;
- getRecordCosts() - 接口 中的方法org.tensorflow.distruntime.ExecutorOptsOrBuilder
-
bool record_costs = 1;
- getRecordPartitionGraphs() - 类 中的方法org.tensorflow.distruntime.ExecutorOpts.Builder
-
bool record_partition_graphs = 4;
- getRecordPartitionGraphs() - 类 中的方法org.tensorflow.distruntime.ExecutorOpts
-
bool record_partition_graphs = 4;
- getRecordPartitionGraphs() - 接口 中的方法org.tensorflow.distruntime.ExecutorOptsOrBuilder
-
bool record_partition_graphs = 4;
- getRecordTimeline() - 类 中的方法org.tensorflow.distruntime.ExecutorOpts.Builder
-
bool record_timeline = 3;
- getRecordTimeline() - 类 中的方法org.tensorflow.distruntime.ExecutorOpts
-
bool record_timeline = 3;
- getRecordTimeline() - 接口 中的方法org.tensorflow.distruntime.ExecutorOptsOrBuilder
-
bool record_timeline = 3;
- getRecv(int) - 类 中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
-
A list of tensors corresponding to those requested by
`RunGraphRequest.recv_key`.
- getRecv(int) - 类 中的方法org.tensorflow.distruntime.RunGraphResponse
-
A list of tensors corresponding to those requested by
`RunGraphRequest.recv_key`.
- getRecv(int) - 接口 中的方法org.tensorflow.distruntime.RunGraphResponseOrBuilder
-
A list of tensors corresponding to those requested by
`RunGraphRequest.recv_key`.
- getRecvBufMethod() - 类 中的静态方法org.tensorflow.distruntime.WorkerServiceGrpc
-
- getRecvBuilder(int) - 类 中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
-
A list of tensors corresponding to those requested by
`RunGraphRequest.recv_key`.
- getRecvBuilderList() - 类 中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
-
A list of tensors corresponding to those requested by
`RunGraphRequest.recv_key`.
- getRecvCount() - 类 中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
-
A list of tensors corresponding to those requested by
`RunGraphRequest.recv_key`.
- getRecvCount() - 类 中的方法org.tensorflow.distruntime.RunGraphResponse
-
A list of tensors corresponding to those requested by
`RunGraphRequest.recv_key`.
- getRecvCount() - 接口 中的方法org.tensorflow.distruntime.RunGraphResponseOrBuilder
-
A list of tensors corresponding to those requested by
`RunGraphRequest.recv_key`.
- getRecvKey(int) - 类 中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
-
repeated string recv_key = 4;
- getRecvKey(int) - 类 中的方法org.tensorflow.distruntime.RunGraphRequest
-
repeated string recv_key = 4;
- getRecvKey(int) - 接口 中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
repeated string recv_key = 4;
- getRecvKeyBytes(int) - 类 中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
-
repeated string recv_key = 4;
- getRecvKeyBytes(int) - 类 中的方法org.tensorflow.distruntime.RunGraphRequest
-
repeated string recv_key = 4;
- getRecvKeyBytes(int) - 接口 中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
repeated string recv_key = 4;
- getRecvKeyCount() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
-
repeated string recv_key = 4;
- getRecvKeyCount() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest
-
repeated string recv_key = 4;
- getRecvKeyCount() - 接口 中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
repeated string recv_key = 4;
- getRecvKeyList() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
-
repeated string recv_key = 4;
- getRecvKeyList() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest
-
repeated string recv_key = 4;
- getRecvKeyList() - 接口 中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
repeated string recv_key = 4;
- getRecvList() - 类 中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
-
A list of tensors corresponding to those requested by
`RunGraphRequest.recv_key`.
- getRecvList() - 类 中的方法org.tensorflow.distruntime.RunGraphResponse
-
A list of tensors corresponding to those requested by
`RunGraphRequest.recv_key`.
- getRecvList() - 接口 中的方法org.tensorflow.distruntime.RunGraphResponseOrBuilder
-
A list of tensors corresponding to those requested by
`RunGraphRequest.recv_key`.
- getRecvOrBuilder(int) - 类 中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
-
A list of tensors corresponding to those requested by
`RunGraphRequest.recv_key`.
- getRecvOrBuilder(int) - 类 中的方法org.tensorflow.distruntime.RunGraphResponse
-
A list of tensors corresponding to those requested by
`RunGraphRequest.recv_key`.
- getRecvOrBuilder(int) - 接口 中的方法org.tensorflow.distruntime.RunGraphResponseOrBuilder
-
A list of tensors corresponding to those requested by
`RunGraphRequest.recv_key`.
- getRecvOrBuilderList() - 类 中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
-
A list of tensors corresponding to those requested by
`RunGraphRequest.recv_key`.
- getRecvOrBuilderList() - 类 中的方法org.tensorflow.distruntime.RunGraphResponse
-
A list of tensors corresponding to those requested by
`RunGraphRequest.recv_key`.
- getRecvOrBuilderList() - 接口 中的方法org.tensorflow.distruntime.RunGraphResponseOrBuilder
-
A list of tensors corresponding to those requested by
`RunGraphRequest.recv_key`.
- getRecvTensorMethod() - 类 中的静态方法org.tensorflow.distruntime.WorkerServiceGrpc
-
- getReferencedTensor(int) - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensor(int) - 类 中的方法org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensor(int) - 接口 中的方法org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorBuilder(int) - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorBuilderList() - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorCount() - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorCount() - 类 中的方法org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorCount() - 接口 中的方法org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorList() - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorList() - 类 中的方法org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorList() - 接口 中的方法org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorOrBuilder(int) - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorOrBuilder(int) - 类 中的方法org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorOrBuilder(int) - 接口 中的方法org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorOrBuilderList() - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorOrBuilderList() - 类 中的方法org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorOrBuilderList() - 接口 中的方法org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getRegisterFunctionMethod() - 类 中的静态方法tensorflow.eager.EagerServiceGrpc
-
- getRegisterGraphMethod() - 类 中的静态方法org.tensorflow.distruntime.WorkerServiceGrpc
-
- getRegressionResult() - 类 中的方法tensorflow.serving.Inference.InferenceResult.Builder
-
.tensorflow.serving.RegressionResult regression_result = 3;
- getRegressionResult() - 类 中的方法tensorflow.serving.Inference.InferenceResult
-
.tensorflow.serving.RegressionResult regression_result = 3;
- getRegressionResult() - 接口 中的方法tensorflow.serving.Inference.InferenceResultOrBuilder
-
.tensorflow.serving.RegressionResult regression_result = 3;
- getRegressionResultBuilder() - 类 中的方法tensorflow.serving.Inference.InferenceResult.Builder
-
.tensorflow.serving.RegressionResult regression_result = 3;
- getRegressionResultOrBuilder() - 类 中的方法tensorflow.serving.Inference.InferenceResult.Builder
-
.tensorflow.serving.RegressionResult regression_result = 3;
- getRegressionResultOrBuilder() - 类 中的方法tensorflow.serving.Inference.InferenceResult
-
.tensorflow.serving.RegressionResult regression_result = 3;
- getRegressionResultOrBuilder() - 接口 中的方法tensorflow.serving.Inference.InferenceResultOrBuilder
-
.tensorflow.serving.RegressionResult regression_result = 3;
- getRegressions(int) - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder
-
repeated .tensorflow.serving.Regression regressions = 1;
- getRegressions(int) - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionResult
-
repeated .tensorflow.serving.Regression regressions = 1;
- getRegressions(int) - 接口 中的方法tensorflow.serving.RegressionOuterClass.RegressionResultOrBuilder
-
repeated .tensorflow.serving.Regression regressions = 1;
- getRegressionsBuilder(int) - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder
-
repeated .tensorflow.serving.Regression regressions = 1;
- getRegressionsBuilderList() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder
-
repeated .tensorflow.serving.Regression regressions = 1;
- getRegressionsCount() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder
-
repeated .tensorflow.serving.Regression regressions = 1;
- getRegressionsCount() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionResult
-
repeated .tensorflow.serving.Regression regressions = 1;
- getRegressionsCount() - 接口 中的方法tensorflow.serving.RegressionOuterClass.RegressionResultOrBuilder
-
repeated .tensorflow.serving.Regression regressions = 1;
- getRegressionsList() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder
-
repeated .tensorflow.serving.Regression regressions = 1;
- getRegressionsList() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionResult
-
repeated .tensorflow.serving.Regression regressions = 1;
- getRegressionsList() - 接口 中的方法tensorflow.serving.RegressionOuterClass.RegressionResultOrBuilder
-
repeated .tensorflow.serving.Regression regressions = 1;
- getRegressionsOrBuilder(int) - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder
-
repeated .tensorflow.serving.Regression regressions = 1;
- getRegressionsOrBuilder(int) - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionResult
-
repeated .tensorflow.serving.Regression regressions = 1;
- getRegressionsOrBuilder(int) - 接口 中的方法tensorflow.serving.RegressionOuterClass.RegressionResultOrBuilder
-
repeated .tensorflow.serving.Regression regressions = 1;
- getRegressionsOrBuilderList() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionResult.Builder
-
repeated .tensorflow.serving.Regression regressions = 1;
- getRegressionsOrBuilderList() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionResult
-
repeated .tensorflow.serving.Regression regressions = 1;
- getRegressionsOrBuilderList() - 接口 中的方法tensorflow.serving.RegressionOuterClass.RegressionResultOrBuilder
-
repeated .tensorflow.serving.Regression regressions = 1;
- getRegressLog() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
-
.tensorflow.serving.RegressLog regress_log = 3;
- getRegressLog() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
-
.tensorflow.serving.RegressLog regress_log = 3;
- getRegressLog() - 接口 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLogOrBuilder
-
.tensorflow.serving.RegressLog regress_log = 3;
- getRegressLogBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
-
.tensorflow.serving.RegressLog regress_log = 3;
- getRegressLogOrBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
-
.tensorflow.serving.RegressLog regress_log = 3;
- getRegressLogOrBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
-
.tensorflow.serving.RegressLog regress_log = 3;
- getRegressLogOrBuilder() - 接口 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLogOrBuilder
-
.tensorflow.serving.RegressLog regress_log = 3;
- getRegressMethod() - 类 中的静态方法tensorflow.serving.PredictionServiceGrpc
-
- getReleaseCallableMethod() - 类 中的静态方法org.tensorflow.distruntime.MasterServiceGrpc
-
- getRemapping() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
Remapping (default is ON)
Remap subgraphs onto more efficient implementations.
- getRemapping() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
Remapping (default is ON)
Remap subgraphs onto more efficient implementations.
- getRemapping() - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
Remapping (default is ON)
Remap subgraphs onto more efficient implementations.
- getRemappingValue() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
Remapping (default is ON)
Remap subgraphs onto more efficient implementations.
- getRemappingValue() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
Remapping (default is ON)
Remap subgraphs onto more efficient implementations.
- getRemappingValue() - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
Remapping (default is ON)
Remap subgraphs onto more efficient implementations.
- getRemoteDevice(int) - 类 中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder
-
repeated .tensorflow.DeviceAttributes remote_device = 2;
- getRemoteDevice(int) - 类 中的方法org.tensorflow.distruntime.ListDevicesResponse
-
repeated .tensorflow.DeviceAttributes remote_device = 2;
- getRemoteDevice(int) - 接口 中的方法org.tensorflow.distruntime.ListDevicesResponseOrBuilder
-
repeated .tensorflow.DeviceAttributes remote_device = 2;
- getRemoteDeviceBuilder(int) - 类 中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder
-
repeated .tensorflow.DeviceAttributes remote_device = 2;
- getRemoteDeviceBuilderList() - 类 中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder
-
repeated .tensorflow.DeviceAttributes remote_device = 2;
- getRemoteDeviceCount() - 类 中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder
-
repeated .tensorflow.DeviceAttributes remote_device = 2;
- getRemoteDeviceCount() - 类 中的方法org.tensorflow.distruntime.ListDevicesResponse
-
repeated .tensorflow.DeviceAttributes remote_device = 2;
- getRemoteDeviceCount() - 接口 中的方法org.tensorflow.distruntime.ListDevicesResponseOrBuilder
-
repeated .tensorflow.DeviceAttributes remote_device = 2;
- getRemoteDeviceList() - 类 中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder
-
repeated .tensorflow.DeviceAttributes remote_device = 2;
- getRemoteDeviceList() - 类 中的方法org.tensorflow.distruntime.ListDevicesResponse
-
repeated .tensorflow.DeviceAttributes remote_device = 2;
- getRemoteDeviceList() - 接口 中的方法org.tensorflow.distruntime.ListDevicesResponseOrBuilder
-
repeated .tensorflow.DeviceAttributes remote_device = 2;
- getRemoteDeviceOrBuilder(int) - 类 中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder
-
repeated .tensorflow.DeviceAttributes remote_device = 2;
- getRemoteDeviceOrBuilder(int) - 类 中的方法org.tensorflow.distruntime.ListDevicesResponse
-
repeated .tensorflow.DeviceAttributes remote_device = 2;
- getRemoteDeviceOrBuilder(int) - 接口 中的方法org.tensorflow.distruntime.ListDevicesResponseOrBuilder
-
repeated .tensorflow.DeviceAttributes remote_device = 2;
- getRemoteDeviceOrBuilderList() - 类 中的方法org.tensorflow.distruntime.ListDevicesResponse.Builder
-
repeated .tensorflow.DeviceAttributes remote_device = 2;
- getRemoteDeviceOrBuilderList() - 类 中的方法org.tensorflow.distruntime.ListDevicesResponse
-
repeated .tensorflow.DeviceAttributes remote_device = 2;
- getRemoteDeviceOrBuilderList() - 接口 中的方法org.tensorflow.distruntime.ListDevicesResponseOrBuilder
-
repeated .tensorflow.DeviceAttributes remote_device = 2;
- getRemoteGraph() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Definition of remote graph
.tensorflow.GraphDef remote_graph = 1;
- getRemoteGraph() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Definition of remote graph
.tensorflow.GraphDef remote_graph = 1;
- getRemoteGraph() - 接口 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Definition of remote graph
.tensorflow.GraphDef remote_graph = 1;
- getRemoteGraphBuilder() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Definition of remote graph
.tensorflow.GraphDef remote_graph = 1;
- getRemoteGraphOrBuilder() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Definition of remote graph
.tensorflow.GraphDef remote_graph = 1;
- getRemoteGraphOrBuilder() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Definition of remote graph
.tensorflow.GraphDef remote_graph = 1;
- getRemoteGraphOrBuilder() - 接口 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Definition of remote graph
.tensorflow.GraphDef remote_graph = 1;
- getRenameTo() - 类 中的方法org.tensorflow.framework.ApiDef.Arg.Builder
-
Change the name used to access this arg in the API from what
is used in the GraphDef.
- getRenameTo() - 类 中的方法org.tensorflow.framework.ApiDef.Arg
-
Change the name used to access this arg in the API from what
is used in the GraphDef.
- getRenameTo() - 接口 中的方法org.tensorflow.framework.ApiDef.ArgOrBuilder
-
Change the name used to access this arg in the API from what
is used in the GraphDef.
- getRenameTo() - 类 中的方法org.tensorflow.framework.ApiDef.Attr.Builder
-
Change the name used to access this attr in the API from what
is used in the GraphDef.
- getRenameTo() - 类 中的方法org.tensorflow.framework.ApiDef.Attr
-
Change the name used to access this attr in the API from what
is used in the GraphDef.
- getRenameTo() - 接口 中的方法org.tensorflow.framework.ApiDef.AttrOrBuilder
-
Change the name used to access this attr in the API from what
is used in the GraphDef.
- getRenameToBytes() - 类 中的方法org.tensorflow.framework.ApiDef.Arg.Builder
-
Change the name used to access this arg in the API from what
is used in the GraphDef.
- getRenameToBytes() - 类 中的方法org.tensorflow.framework.ApiDef.Arg
-
Change the name used to access this arg in the API from what
is used in the GraphDef.
- getRenameToBytes() - 接口 中的方法org.tensorflow.framework.ApiDef.ArgOrBuilder
-
Change the name used to access this arg in the API from what
is used in the GraphDef.
- getRenameToBytes() - 类 中的方法org.tensorflow.framework.ApiDef.Attr.Builder
-
Change the name used to access this attr in the API from what
is used in the GraphDef.
- getRenameToBytes() - 类 中的方法org.tensorflow.framework.ApiDef.Attr
-
Change the name used to access this attr in the API from what
is used in the GraphDef.
- getRenameToBytes() - 接口 中的方法org.tensorflow.framework.ApiDef.AttrOrBuilder
-
Change the name used to access this attr in the API from what
is used in the GraphDef.
- getRendezvousId() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
-
This ID will be used for all future communications.
- getRendezvousId() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
-
This ID will be used for all future communications.
- getRendezvousId() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequestOrBuilder
-
This ID will be used for all future communications.
- getRendezvousKey() - 类 中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder
-
A key identifying the channel to receive tensors from.
- getRendezvousKey() - 类 中的方法org.tensorflow.distruntime.RecvTensorRequest
-
A key identifying the channel to receive tensors from.
- getRendezvousKey() - 接口 中的方法org.tensorflow.distruntime.RecvTensorRequestOrBuilder
-
A key identifying the channel to receive tensors from.
- getRendezvousKeyBytes() - 类 中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder
-
A key identifying the channel to receive tensors from.
- getRendezvousKeyBytes() - 类 中的方法org.tensorflow.distruntime.RecvTensorRequest
-
A key identifying the channel to receive tensors from.
- getRendezvousKeyBytes() - 接口 中的方法org.tensorflow.distruntime.RecvTensorRequestOrBuilder
-
A key identifying the channel to receive tensors from.
- getReportTensorAllocationsUponOom() - 类 中的方法org.tensorflow.distruntime.ExecutorOpts.Builder
-
bool report_tensor_allocations_upon_oom = 5;
- getReportTensorAllocationsUponOom() - 类 中的方法org.tensorflow.distruntime.ExecutorOpts
-
bool report_tensor_allocations_upon_oom = 5;
- getReportTensorAllocationsUponOom() - 接口 中的方法org.tensorflow.distruntime.ExecutorOptsOrBuilder
-
bool report_tensor_allocations_upon_oom = 5;
- getReportTensorAllocationsUponOom() - 类 中的方法org.tensorflow.framework.RunOptions.Builder
-
When enabled, causes tensor allocation information to be included in
the error message when the Run() call fails because the allocator ran
out of memory (OOM).
- getReportTensorAllocationsUponOom() - 类 中的方法org.tensorflow.framework.RunOptions
-
When enabled, causes tensor allocation information to be included in
the error message when the Run() call fails because the allocator ran
out of memory (OOM).
- getReportTensorAllocationsUponOom() - 接口 中的方法org.tensorflow.framework.RunOptionsOrBuilder
-
When enabled, causes tensor allocation information to be included in
the error message when the Run() call fails because the allocator ran
out of memory (OOM).
- getRequest() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder
-
.tensorflow.serving.ClassificationRequest request = 1;
- getRequest() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog
-
.tensorflow.serving.ClassificationRequest request = 1;
- getRequest() - 接口 中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLogOrBuilder
-
.tensorflow.serving.ClassificationRequest request = 1;
- getRequest() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder
-
.tensorflow.serving.MultiInferenceRequest request = 1;
- getRequest() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
-
.tensorflow.serving.MultiInferenceRequest request = 1;
- getRequest() - 接口 中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLogOrBuilder
-
.tensorflow.serving.MultiInferenceRequest request = 1;
- getRequest() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder
-
.tensorflow.serving.PredictRequest request = 1;
- getRequest() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog
-
.tensorflow.serving.PredictRequest request = 1;
- getRequest() - 接口 中的方法tensorflow.serving.PredictionLogOuterClass.PredictLogOrBuilder
-
.tensorflow.serving.PredictRequest request = 1;
- getRequest() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder
-
.tensorflow.serving.RegressionRequest request = 1;
- getRequest() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog
-
.tensorflow.serving.RegressionRequest request = 1;
- getRequest() - 接口 中的方法tensorflow.serving.PredictionLogOuterClass.RegressLogOrBuilder
-
.tensorflow.serving.RegressionRequest request = 1;
- getRequest() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder
-
.tensorflow.serving.SessionRunRequest request = 1;
- getRequest() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog
-
.tensorflow.serving.SessionRunRequest request = 1;
- getRequest() - 接口 中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLogOrBuilder
-
.tensorflow.serving.SessionRunRequest request = 1;
- getRequestBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder
-
.tensorflow.serving.ClassificationRequest request = 1;
- getRequestBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder
-
.tensorflow.serving.MultiInferenceRequest request = 1;
- getRequestBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder
-
.tensorflow.serving.PredictRequest request = 1;
- getRequestBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder
-
.tensorflow.serving.RegressionRequest request = 1;
- getRequestBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder
-
.tensorflow.serving.SessionRunRequest request = 1;
- getRequestedBytes() - 类 中的方法org.tensorflow.framework.AllocationDescription.Builder
-
Total number of bytes requested
int64 requested_bytes = 1;
- getRequestedBytes() - 类 中的方法org.tensorflow.framework.AllocationDescription
-
Total number of bytes requested
int64 requested_bytes = 1;
- getRequestedBytes() - 接口 中的方法org.tensorflow.framework.AllocationDescriptionOrBuilder
-
Total number of bytes requested
int64 requested_bytes = 1;
- getRequestId() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest.Builder
-
Depending on the RPC system in use, it may be necessary to set this
id to detect resends of RPCs where the server is not aware that
the prior RPC failed.
- getRequestId() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest
-
Depending on the RPC system in use, it may be necessary to set this
id to detect resends of RPCs where the server is not aware that
the prior RPC failed.
- getRequestId() - 接口 中的方法org.tensorflow.distruntime.RecvBufRequestOrBuilder
-
Depending on the RPC system in use, it may be necessary to set this
id to detect resends of RPCs where the server is not aware that
the prior RPC failed.
- getRequestId() - 类 中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder
-
Unique identifier for this request.
- getRequestId() - 类 中的方法org.tensorflow.distruntime.RecvTensorRequest
-
Unique identifier for this request.
- getRequestId() - 接口 中的方法org.tensorflow.distruntime.RecvTensorRequestOrBuilder
-
Unique identifier for this request.
- getRequestOrBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder
-
.tensorflow.serving.ClassificationRequest request = 1;
- getRequestOrBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog
-
.tensorflow.serving.ClassificationRequest request = 1;
- getRequestOrBuilder() - 接口 中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLogOrBuilder
-
.tensorflow.serving.ClassificationRequest request = 1;
- getRequestOrBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder
-
.tensorflow.serving.MultiInferenceRequest request = 1;
- getRequestOrBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
-
.tensorflow.serving.MultiInferenceRequest request = 1;
- getRequestOrBuilder() - 接口 中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLogOrBuilder
-
.tensorflow.serving.MultiInferenceRequest request = 1;
- getRequestOrBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder
-
.tensorflow.serving.PredictRequest request = 1;
- getRequestOrBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog
-
.tensorflow.serving.PredictRequest request = 1;
- getRequestOrBuilder() - 接口 中的方法tensorflow.serving.PredictionLogOuterClass.PredictLogOrBuilder
-
.tensorflow.serving.PredictRequest request = 1;
- getRequestOrBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder
-
.tensorflow.serving.RegressionRequest request = 1;
- getRequestOrBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog
-
.tensorflow.serving.RegressionRequest request = 1;
- getRequestOrBuilder() - 接口 中的方法tensorflow.serving.PredictionLogOuterClass.RegressLogOrBuilder
-
.tensorflow.serving.RegressionRequest request = 1;
- getRequestOrBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder
-
.tensorflow.serving.SessionRunRequest request = 1;
- getRequestOrBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog
-
.tensorflow.serving.SessionRunRequest request = 1;
- getRequestOrBuilder() - 接口 中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLogOrBuilder
-
.tensorflow.serving.SessionRunRequest request = 1;
- getResetDiskByteUsage() - 类 中的方法org.tensorflow.framework.DebugOptions.Builder
-
Whether the total disk usage of tfdbg is to be reset to zero
in this Session.run call.
- getResetDiskByteUsage() - 类 中的方法org.tensorflow.framework.DebugOptions
-
Whether the total disk usage of tfdbg is to be reset to zero
in this Session.run call.
- getResetDiskByteUsage() - 接口 中的方法org.tensorflow.framework.DebugOptionsOrBuilder
-
Whether the total disk usage of tfdbg is to be reset to zero
in this Session.run call.
- getResetMethod() - 类 中的静态方法org.tensorflow.distruntime.MasterServiceGrpc
-
- getResourceHandleVal(int) - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
- getResourceHandleVal(int) - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
- getResourceHandleVal(int) - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
- getResourceHandleValBuilder(int) - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
- getResourceHandleValBuilderList() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
- getResourceHandleValCount() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
- getResourceHandleValCount() - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
- getResourceHandleValCount() - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
- getResourceHandleValList() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
- getResourceHandleValList() - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
- getResourceHandleValList() - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
- getResourceHandleValOrBuilder(int) - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
- getResourceHandleValOrBuilder(int) - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
- getResourceHandleValOrBuilder(int) - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
- getResourceHandleValOrBuilderList() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
- getResourceHandleValOrBuilderList() - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
- getResourceHandleValOrBuilderList() - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
- getResponse() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder
-
.tensorflow.serving.ClassificationResponse response = 2;
- getResponse() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog
-
.tensorflow.serving.ClassificationResponse response = 2;
- getResponse() - 接口 中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLogOrBuilder
-
.tensorflow.serving.ClassificationResponse response = 2;
- getResponse() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder
-
.tensorflow.serving.MultiInferenceResponse response = 2;
- getResponse() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
-
.tensorflow.serving.MultiInferenceResponse response = 2;
- getResponse() - 接口 中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLogOrBuilder
-
.tensorflow.serving.MultiInferenceResponse response = 2;
- getResponse() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder
-
.tensorflow.serving.PredictResponse response = 2;
- getResponse() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog
-
.tensorflow.serving.PredictResponse response = 2;
- getResponse() - 接口 中的方法tensorflow.serving.PredictionLogOuterClass.PredictLogOrBuilder
-
.tensorflow.serving.PredictResponse response = 2;
- getResponse() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder
-
.tensorflow.serving.RegressionResponse response = 2;
- getResponse() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog
-
.tensorflow.serving.RegressionResponse response = 2;
- getResponse() - 接口 中的方法tensorflow.serving.PredictionLogOuterClass.RegressLogOrBuilder
-
.tensorflow.serving.RegressionResponse response = 2;
- getResponse() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder
-
.tensorflow.serving.SessionRunResponse response = 2;
- getResponse() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog
-
.tensorflow.serving.SessionRunResponse response = 2;
- getResponse() - 接口 中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLogOrBuilder
-
.tensorflow.serving.SessionRunResponse response = 2;
- getResponseBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder
-
.tensorflow.serving.ClassificationResponse response = 2;
- getResponseBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder
-
.tensorflow.serving.MultiInferenceResponse response = 2;
- getResponseBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder
-
.tensorflow.serving.PredictResponse response = 2;
- getResponseBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder
-
.tensorflow.serving.RegressionResponse response = 2;
- getResponseBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder
-
.tensorflow.serving.SessionRunResponse response = 2;
- getResponseOrBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog.Builder
-
.tensorflow.serving.ClassificationResponse response = 2;
- getResponseOrBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog
-
.tensorflow.serving.ClassificationResponse response = 2;
- getResponseOrBuilder() - 接口 中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLogOrBuilder
-
.tensorflow.serving.ClassificationResponse response = 2;
- getResponseOrBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog.Builder
-
.tensorflow.serving.MultiInferenceResponse response = 2;
- getResponseOrBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
-
.tensorflow.serving.MultiInferenceResponse response = 2;
- getResponseOrBuilder() - 接口 中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLogOrBuilder
-
.tensorflow.serving.MultiInferenceResponse response = 2;
- getResponseOrBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog.Builder
-
.tensorflow.serving.PredictResponse response = 2;
- getResponseOrBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog
-
.tensorflow.serving.PredictResponse response = 2;
- getResponseOrBuilder() - 接口 中的方法tensorflow.serving.PredictionLogOuterClass.PredictLogOrBuilder
-
.tensorflow.serving.PredictResponse response = 2;
- getResponseOrBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog.Builder
-
.tensorflow.serving.RegressionResponse response = 2;
- getResponseOrBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog
-
.tensorflow.serving.RegressionResponse response = 2;
- getResponseOrBuilder() - 接口 中的方法tensorflow.serving.PredictionLogOuterClass.RegressLogOrBuilder
-
.tensorflow.serving.RegressionResponse response = 2;
- getResponseOrBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog.Builder
-
.tensorflow.serving.SessionRunResponse response = 2;
- getResponseOrBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog
-
.tensorflow.serving.SessionRunResponse response = 2;
- getResponseOrBuilder() - 接口 中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLogOrBuilder
-
.tensorflow.serving.SessionRunResponse response = 2;
- getRestoreOpName() - 类 中的方法org.tensorflow.util.SaverDef.Builder
-
The operation to run when restoring a model checkpoint.
- getRestoreOpName() - 类 中的方法org.tensorflow.util.SaverDef
-
The operation to run when restoring a model checkpoint.
- getRestoreOpName() - 接口 中的方法org.tensorflow.util.SaverDefOrBuilder
-
The operation to run when restoring a model checkpoint.
- getRestoreOpNameBytes() - 类 中的方法org.tensorflow.util.SaverDef.Builder
-
The operation to run when restoring a model checkpoint.
- getRestoreOpNameBytes() - 类 中的方法org.tensorflow.util.SaverDef
-
The operation to run when restoring a model checkpoint.
- getRestoreOpNameBytes() - 接口 中的方法org.tensorflow.util.SaverDefOrBuilder
-
The operation to run when restoring a model checkpoint.
- getResult() - 类 中的方法tensorflow.serving.Classification.ClassificationResponse.Builder
-
Result of the classification.
- getResult() - 类 中的方法tensorflow.serving.Classification.ClassificationResponse
-
Result of the classification.
- getResult() - 接口 中的方法tensorflow.serving.Classification.ClassificationResponseOrBuilder
-
Result of the classification.
- getResult() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder
-
.tensorflow.serving.RegressionResult result = 1;
- getResult() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse
-
.tensorflow.serving.RegressionResult result = 1;
- getResult() - 接口 中的方法tensorflow.serving.RegressionOuterClass.RegressionResponseOrBuilder
-
.tensorflow.serving.RegressionResult result = 1;
- getResultBuilder() - 类 中的方法tensorflow.serving.Classification.ClassificationResponse.Builder
-
Result of the classification.
- getResultBuilder() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder
-
.tensorflow.serving.RegressionResult result = 1;
- getResultCase() - 类 中的方法tensorflow.serving.Inference.InferenceResult.Builder
-
- getResultCase() - 类 中的方法tensorflow.serving.Inference.InferenceResult
-
- getResultCase() - 接口 中的方法tensorflow.serving.Inference.InferenceResultOrBuilder
-
- getResultOrBuilder() - 类 中的方法tensorflow.serving.Classification.ClassificationResponse.Builder
-
Result of the classification.
- getResultOrBuilder() - 类 中的方法tensorflow.serving.Classification.ClassificationResponse
-
Result of the classification.
- getResultOrBuilder() - 接口 中的方法tensorflow.serving.Classification.ClassificationResponseOrBuilder
-
Result of the classification.
- getResultOrBuilder() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse.Builder
-
.tensorflow.serving.RegressionResult result = 1;
- getResultOrBuilder() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse
-
.tensorflow.serving.RegressionResult result = 1;
- getResultOrBuilder() - 接口 中的方法tensorflow.serving.RegressionOuterClass.RegressionResponseOrBuilder
-
.tensorflow.serving.RegressionResult result = 1;
- getResults(int) - 类 中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder
-
List of results; one for each InferenceTask in the request, returned in the
same order as the request.
- getResults(int) - 类 中的方法tensorflow.serving.Inference.MultiInferenceResponse
-
List of results; one for each InferenceTask in the request, returned in the
same order as the request.
- getResults(int) - 接口 中的方法tensorflow.serving.Inference.MultiInferenceResponseOrBuilder
-
List of results; one for each InferenceTask in the request, returned in the
same order as the request.
- getResultsBuilder(int) - 类 中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder
-
List of results; one for each InferenceTask in the request, returned in the
same order as the request.
- getResultsBuilderList() - 类 中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder
-
List of results; one for each InferenceTask in the request, returned in the
same order as the request.
- getResultsCount() - 类 中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder
-
List of results; one for each InferenceTask in the request, returned in the
same order as the request.
- getResultsCount() - 类 中的方法tensorflow.serving.Inference.MultiInferenceResponse
-
List of results; one for each InferenceTask in the request, returned in the
same order as the request.
- getResultsCount() - 接口 中的方法tensorflow.serving.Inference.MultiInferenceResponseOrBuilder
-
List of results; one for each InferenceTask in the request, returned in the
same order as the request.
- getResultsList() - 类 中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder
-
List of results; one for each InferenceTask in the request, returned in the
same order as the request.
- getResultsList() - 类 中的方法tensorflow.serving.Inference.MultiInferenceResponse
-
List of results; one for each InferenceTask in the request, returned in the
same order as the request.
- getResultsList() - 接口 中的方法tensorflow.serving.Inference.MultiInferenceResponseOrBuilder
-
List of results; one for each InferenceTask in the request, returned in the
same order as the request.
- getResultsOrBuilder(int) - 类 中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder
-
List of results; one for each InferenceTask in the request, returned in the
same order as the request.
- getResultsOrBuilder(int) - 类 中的方法tensorflow.serving.Inference.MultiInferenceResponse
-
List of results; one for each InferenceTask in the request, returned in the
same order as the request.
- getResultsOrBuilder(int) - 接口 中的方法tensorflow.serving.Inference.MultiInferenceResponseOrBuilder
-
List of results; one for each InferenceTask in the request, returned in the
same order as the request.
- getResultsOrBuilderList() - 类 中的方法tensorflow.serving.Inference.MultiInferenceResponse.Builder
-
List of results; one for each InferenceTask in the request, returned in the
same order as the request.
- getResultsOrBuilderList() - 类 中的方法tensorflow.serving.Inference.MultiInferenceResponse
-
List of results; one for each InferenceTask in the request, returned in the
same order as the request.
- getResultsOrBuilderList() - 接口 中的方法tensorflow.serving.Inference.MultiInferenceResponseOrBuilder
-
List of results; one for each InferenceTask in the request, returned in the
same order as the request.
- getRet() - 类 中的方法org.tensorflow.framework.FunctionDef.Builder
-
已过时。
- getRet() - 类 中的方法org.tensorflow.framework.FunctionDef
-
已过时。
- getRet() - 接口 中的方法org.tensorflow.framework.FunctionDefOrBuilder
-
已过时。
- getRetCount() - 类 中的方法org.tensorflow.framework.FunctionDef.Builder
-
- getRetCount() - 类 中的方法org.tensorflow.framework.FunctionDef
-
- getRetCount() - 接口 中的方法org.tensorflow.framework.FunctionDefOrBuilder
-
A mapping from the output arg names from `signature` to the
outputs from `node_def` that should be returned by the function.
- getRetMap() - 类 中的方法org.tensorflow.framework.FunctionDef.Builder
-
A mapping from the output arg names from `signature` to the
outputs from `node_def` that should be returned by the function.
- getRetMap() - 类 中的方法org.tensorflow.framework.FunctionDef
-
A mapping from the output arg names from `signature` to the
outputs from `node_def` that should be returned by the function.
- getRetMap() - 接口 中的方法org.tensorflow.framework.FunctionDefOrBuilder
-
A mapping from the output arg names from `signature` to the
outputs from `node_def` that should be returned by the function.
- getRetOrDefault(String, String) - 类 中的方法org.tensorflow.framework.FunctionDef.Builder
-
A mapping from the output arg names from `signature` to the
outputs from `node_def` that should be returned by the function.
- getRetOrDefault(String, String) - 类 中的方法org.tensorflow.framework.FunctionDef
-
A mapping from the output arg names from `signature` to the
outputs from `node_def` that should be returned by the function.
- getRetOrDefault(String, String) - 接口 中的方法org.tensorflow.framework.FunctionDefOrBuilder
-
A mapping from the output arg names from `signature` to the
outputs from `node_def` that should be returned by the function.
- getRetOrThrow(String) - 类 中的方法org.tensorflow.framework.FunctionDef.Builder
-
A mapping from the output arg names from `signature` to the
outputs from `node_def` that should be returned by the function.
- getRetOrThrow(String) - 类 中的方法org.tensorflow.framework.FunctionDef
-
A mapping from the output arg names from `signature` to the
outputs from `node_def` that should be returned by the function.
- getRetOrThrow(String) - 接口 中的方法org.tensorflow.framework.FunctionDefOrBuilder
-
A mapping from the output arg names from `signature` to the
outputs from `node_def` that should be returned by the function.
- getRewriteOptions() - 类 中的方法org.tensorflow.framework.GraphOptions.Builder
-
Options that control the type and amount of graph rewriting.
- getRewriteOptions() - 类 中的方法org.tensorflow.framework.GraphOptions
-
Options that control the type and amount of graph rewriting.
- getRewriteOptions() - 接口 中的方法org.tensorflow.framework.GraphOptionsOrBuilder
-
Options that control the type and amount of graph rewriting.
- getRewriteOptionsBuilder() - 类 中的方法org.tensorflow.framework.GraphOptions.Builder
-
Options that control the type and amount of graph rewriting.
- getRewriteOptionsOrBuilder() - 类 中的方法org.tensorflow.framework.GraphOptions.Builder
-
Options that control the type and amount of graph rewriting.
- getRewriteOptionsOrBuilder() - 类 中的方法org.tensorflow.framework.GraphOptions
-
Options that control the type and amount of graph rewriting.
- getRewriteOptionsOrBuilder() - 接口 中的方法org.tensorflow.framework.GraphOptionsOrBuilder
-
Options that control the type and amount of graph rewriting.
- getRpcOptions() - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
Options that apply when this session uses the distributed runtime.
- getRpcOptions() - 类 中的方法org.tensorflow.framework.ConfigProto
-
Options that apply when this session uses the distributed runtime.
- getRpcOptions() - 接口 中的方法org.tensorflow.framework.ConfigProtoOrBuilder
-
Options that apply when this session uses the distributed runtime.
- getRpcOptionsBuilder() - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
Options that apply when this session uses the distributed runtime.
- getRpcOptionsOrBuilder() - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
Options that apply when this session uses the distributed runtime.
- getRpcOptionsOrBuilder() - 类 中的方法org.tensorflow.framework.ConfigProto
-
Options that apply when this session uses the distributed runtime.
- getRpcOptionsOrBuilder() - 接口 中的方法org.tensorflow.framework.ConfigProtoOrBuilder
-
Options that apply when this session uses the distributed runtime.
- getRunCallableMethod() - 类 中的静态方法org.tensorflow.distruntime.MasterServiceGrpc
-
- getRunGraphMethod() - 类 中的静态方法org.tensorflow.distruntime.WorkerServiceGrpc
-
- getRunOptions() - 类 中的方法org.tensorflow.framework.CallableOptions.Builder
-
Options that will be applied to each run.
- getRunOptions() - 类 中的方法org.tensorflow.framework.CallableOptions
-
Options that will be applied to each run.
- getRunOptions() - 接口 中的方法org.tensorflow.framework.CallableOptionsOrBuilder
-
Options that will be applied to each run.
- getRunOptionsBuilder() - 类 中的方法org.tensorflow.framework.CallableOptions.Builder
-
Options that will be applied to each run.
- getRunOptionsOrBuilder() - 类 中的方法org.tensorflow.framework.CallableOptions.Builder
-
Options that will be applied to each run.
- getRunOptionsOrBuilder() - 类 中的方法org.tensorflow.framework.CallableOptions
-
Options that will be applied to each run.
- getRunOptionsOrBuilder() - 接口 中的方法org.tensorflow.framework.CallableOptionsOrBuilder
-
Options that will be applied to each run.
- getRunStepMethod() - 类 中的静态方法org.tensorflow.distruntime.MasterServiceGrpc
-
- getS() - 类 中的方法org.tensorflow.framework.AttrValue.Builder
-
"string"
bytes s = 2;
- getS() - 类 中的方法org.tensorflow.framework.AttrValue
-
"string"
bytes s = 2;
- getS(int) - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(string)"
repeated bytes s = 2;
- getS(int) - 类 中的方法org.tensorflow.framework.AttrValue.ListValue
-
"list(string)"
repeated bytes s = 2;
- getS(int) - 接口 中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(string)"
repeated bytes s = 2;
- getS() - 接口 中的方法org.tensorflow.framework.AttrValueOrBuilder
-
"string"
bytes s = 2;
- getSampleRate() - 类 中的方法org.tensorflow.framework.Summary.Audio.Builder
-
Sample rate of the audio in Hz.
- getSampleRate() - 类 中的方法org.tensorflow.framework.Summary.Audio
-
Sample rate of the audio in Hz.
- getSampleRate() - 接口 中的方法org.tensorflow.framework.Summary.AudioOrBuilder
-
Sample rate of the audio in Hz.
- getSamplingConfig() - 类 中的方法tensorflow.serving.Logging.LogMetadata.Builder
-
TODO(b/33279154): Add more metadata as mentioned in the bug.
- getSamplingConfig() - 类 中的方法tensorflow.serving.Logging.LogMetadata
-
TODO(b/33279154): Add more metadata as mentioned in the bug.
- getSamplingConfig() - 接口 中的方法tensorflow.serving.Logging.LogMetadataOrBuilder
-
TODO(b/33279154): Add more metadata as mentioned in the bug.
- getSamplingConfig() - 类 中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder
-
.tensorflow.serving.SamplingConfig sampling_config = 2;
- getSamplingConfig() - 类 中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
-
.tensorflow.serving.SamplingConfig sampling_config = 2;
- getSamplingConfig() - 接口 中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfigOrBuilder
-
.tensorflow.serving.SamplingConfig sampling_config = 2;
- getSamplingConfigBuilder() - 类 中的方法tensorflow.serving.Logging.LogMetadata.Builder
-
TODO(b/33279154): Add more metadata as mentioned in the bug.
- getSamplingConfigBuilder() - 类 中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder
-
.tensorflow.serving.SamplingConfig sampling_config = 2;
- getSamplingConfigOrBuilder() - 类 中的方法tensorflow.serving.Logging.LogMetadata.Builder
-
TODO(b/33279154): Add more metadata as mentioned in the bug.
- getSamplingConfigOrBuilder() - 类 中的方法tensorflow.serving.Logging.LogMetadata
-
TODO(b/33279154): Add more metadata as mentioned in the bug.
- getSamplingConfigOrBuilder() - 接口 中的方法tensorflow.serving.Logging.LogMetadataOrBuilder
-
TODO(b/33279154): Add more metadata as mentioned in the bug.
- getSamplingConfigOrBuilder() - 类 中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig.Builder
-
.tensorflow.serving.SamplingConfig sampling_config = 2;
- getSamplingConfigOrBuilder() - 类 中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
-
.tensorflow.serving.SamplingConfig sampling_config = 2;
- getSamplingConfigOrBuilder() - 接口 中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfigOrBuilder
-
.tensorflow.serving.SamplingConfig sampling_config = 2;
- getSamplingRate() - 类 中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig.Builder
-
Requests will be logged uniformly at random with this probability.
- getSamplingRate() - 类 中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig
-
Requests will be logged uniformly at random with this probability.
- getSamplingRate() - 接口 中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfigOrBuilder
-
Requests will be logged uniformly at random with this probability.
- getSavedModelSchemaVersion() - 类 中的方法org.tensorflow.framework.SavedModel.Builder
-
The schema version of the SavedModel instance.
- getSavedModelSchemaVersion() - 类 中的方法org.tensorflow.framework.SavedModel
-
The schema version of the SavedModel instance.
- getSavedModelSchemaVersion() - 接口 中的方法org.tensorflow.framework.SavedModelOrBuilder
-
The schema version of the SavedModel instance.
- getSaverDef() - 类 中的方法org.tensorflow.framework.MetaGraphDef.Builder
-
SaverDef.
- getSaverDef() - 类 中的方法org.tensorflow.framework.MetaGraphDef
-
SaverDef.
- getSaverDef() - 接口 中的方法org.tensorflow.framework.MetaGraphDefOrBuilder
-
SaverDef.
- getSaverDefBuilder() - 类 中的方法org.tensorflow.framework.MetaGraphDef.Builder
-
SaverDef.
- getSaverDefOrBuilder() - 类 中的方法org.tensorflow.framework.MetaGraphDef.Builder
-
SaverDef.
- getSaverDefOrBuilder() - 类 中的方法org.tensorflow.framework.MetaGraphDef
-
SaverDef.
- getSaverDefOrBuilder() - 接口 中的方法org.tensorflow.framework.MetaGraphDefOrBuilder
-
SaverDef.
- getSaveSliceInfoDef() - 类 中的方法org.tensorflow.framework.VariableDef.Builder
-
Support for saving variables as slices of a larger variable.
- getSaveSliceInfoDef() - 类 中的方法org.tensorflow.framework.VariableDef
-
Support for saving variables as slices of a larger variable.
- getSaveSliceInfoDef() - 接口 中的方法org.tensorflow.framework.VariableDefOrBuilder
-
Support for saving variables as slices of a larger variable.
- getSaveSliceInfoDefBuilder() - 类 中的方法org.tensorflow.framework.VariableDef.Builder
-
Support for saving variables as slices of a larger variable.
- getSaveSliceInfoDefOrBuilder() - 类 中的方法org.tensorflow.framework.VariableDef.Builder
-
Support for saving variables as slices of a larger variable.
- getSaveSliceInfoDefOrBuilder() - 类 中的方法org.tensorflow.framework.VariableDef
-
Support for saving variables as slices of a larger variable.
- getSaveSliceInfoDefOrBuilder() - 接口 中的方法org.tensorflow.framework.VariableDefOrBuilder
-
Support for saving variables as slices of a larger variable.
- getSaveTensorName() - 类 中的方法org.tensorflow.util.SaverDef.Builder
-
The operation to run when saving a model checkpoint.
- getSaveTensorName() - 类 中的方法org.tensorflow.util.SaverDef
-
The operation to run when saving a model checkpoint.
- getSaveTensorName() - 接口 中的方法org.tensorflow.util.SaverDefOrBuilder
-
The operation to run when saving a model checkpoint.
- getSaveTensorNameBytes() - 类 中的方法org.tensorflow.util.SaverDef.Builder
-
The operation to run when saving a model checkpoint.
- getSaveTensorNameBytes() - 类 中的方法org.tensorflow.util.SaverDef
-
The operation to run when saving a model checkpoint.
- getSaveTensorNameBytes() - 接口 中的方法org.tensorflow.util.SaverDefOrBuilder
-
The operation to run when saving a model checkpoint.
- getScheduledMicros() - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
int64 scheduled_micros = 9;
- getScheduledMicros() - 类 中的方法org.tensorflow.framework.NodeExecStats
-
int64 scheduled_micros = 9;
- getScheduledMicros() - 接口 中的方法org.tensorflow.framework.NodeExecStatsOrBuilder
-
int64 scheduled_micros = 9;
- getScheduledNanos() - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
int64 scheduled_nanos = 17;
- getScheduledNanos() - 类 中的方法org.tensorflow.framework.NodeExecStats
-
int64 scheduled_nanos = 17;
- getScheduledNanos() - 接口 中的方法org.tensorflow.framework.NodeExecStatsOrBuilder
-
int64 scheduled_nanos = 17;
- getScomplexVal(int) - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real
and imaginary parts of i-th single precision complex.
- getScomplexVal(int) - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real
and imaginary parts of i-th single precision complex.
- getScomplexVal(int) - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real
and imaginary parts of i-th single precision complex.
- getScomplexValCount() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real
and imaginary parts of i-th single precision complex.
- getScomplexValCount() - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real
and imaginary parts of i-th single precision complex.
- getScomplexValCount() - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real
and imaginary parts of i-th single precision complex.
- getScomplexValList() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real
and imaginary parts of i-th single precision complex.
- getScomplexValList() - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real
and imaginary parts of i-th single precision complex.
- getScomplexValList() - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real
and imaginary parts of i-th single precision complex.
- getScopedAllocatorOptimization() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
Try to allocate some independent Op outputs contiguously in order to
merge or eliminate downstream Ops (off by default).
- getScopedAllocatorOptimization() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
Try to allocate some independent Op outputs contiguously in order to
merge or eliminate downstream Ops (off by default).
- getScopedAllocatorOptimization() - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
Try to allocate some independent Op outputs contiguously in order to
merge or eliminate downstream Ops (off by default).
- getScopedAllocatorOptimizationValue() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
Try to allocate some independent Op outputs contiguously in order to
merge or eliminate downstream Ops (off by default).
- getScopedAllocatorOptimizationValue() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
Try to allocate some independent Op outputs contiguously in order to
merge or eliminate downstream Ops (off by default).
- getScopedAllocatorOptimizationValue() - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
Try to allocate some independent Op outputs contiguously in order to
merge or eliminate downstream Ops (off by default).
- getScopedAllocatorOpts() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
- getScopedAllocatorOpts() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
- getScopedAllocatorOpts() - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
- getScopedAllocatorOptsBuilder() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
- getScopedAllocatorOptsOrBuilder() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
- getScopedAllocatorOptsOrBuilder() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
- getScopedAllocatorOptsOrBuilder() - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
- getScore() - 类 中的方法tensorflow.serving.Classification.Class.Builder
-
Score for this class (e.g., the probability the item belongs to this
class).
- getScore() - 类 中的方法tensorflow.serving.Classification.Class
-
Score for this class (e.g., the probability the item belongs to this
class).
- getScore() - 接口 中的方法tensorflow.serving.Classification.ClassOrBuilder
-
Score for this class (e.g., the probability the item belongs to this
class).
- getSCount() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(string)"
repeated bytes s = 2;
- getSCount() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue
-
"list(string)"
repeated bytes s = 2;
- getSCount() - 接口 中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(string)"
repeated bytes s = 2;
- getSend(int) - 类 中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
-
Runs the graph.
- getSend(int) - 类 中的方法org.tensorflow.distruntime.RunGraphRequest
-
Runs the graph.
- getSend(int) - 接口 中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
Runs the graph.
- getSendBuilder(int) - 类 中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
-
Runs the graph.
- getSendBuilderList() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
-
Runs the graph.
- getSendCount() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
-
Runs the graph.
- getSendCount() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest
-
Runs the graph.
- getSendCount() - 接口 中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
Runs the graph.
- getSendList() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
-
Runs the graph.
- getSendList() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest
-
Runs the graph.
- getSendList() - 接口 中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
Runs the graph.
- getSendOrBuilder(int) - 类 中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
-
Runs the graph.
- getSendOrBuilder(int) - 类 中的方法org.tensorflow.distruntime.RunGraphRequest
-
Runs the graph.
- getSendOrBuilder(int) - 接口 中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
Runs the graph.
- getSendOrBuilderList() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
-
Runs the graph.
- getSendOrBuilderList() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest
-
Runs the graph.
- getSendOrBuilderList() - 接口 中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
Runs the graph.
- getSendStartMicros() - 类 中的方法org.tensorflow.distruntime.RecvBufResponse.Builder
-
Optional, for timeline.
- getSendStartMicros() - 类 中的方法org.tensorflow.distruntime.RecvBufResponse
-
Optional, for timeline.
- getSendStartMicros() - 接口 中的方法org.tensorflow.distruntime.RecvBufResponseOrBuilder
-
Optional, for timeline.
- getSendStartMicros() - 类 中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder
-
The time at which tensor was available and started to be returned.
- getSendStartMicros() - 类 中的方法org.tensorflow.distruntime.RecvTensorResponse
-
The time at which tensor was available and started to be returned.
- getSendStartMicros() - 接口 中的方法org.tensorflow.distruntime.RecvTensorResponseOrBuilder
-
The time at which tensor was available and started to be returned.
- getSendTensorMethod() - 类 中的静态方法tensorflow.eager.EagerServiceGrpc
-
- getSerializedExecutorParameters() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Parameters given to the executor
bytes serialized_executor_parameters = 5;
- getSerializedExecutorParameters() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Optional: Parameters given to the executor
bytes serialized_executor_parameters = 5;
- getSerializedExecutorParameters() - 接口 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Optional: Parameters given to the executor
bytes serialized_executor_parameters = 5;
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.CleanupAllRequest
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.CleanupAllResponse
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.CleanupGraphRequest
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.CleanupGraphResponse
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.CloseSessionRequest
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.CloseSessionResponse
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.ClusterDef
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.CompleteGroupRequest
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.CompleteGroupResponse
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceResponse
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.CreateSessionRequest
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.CreateSessionResponse
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.CreateWorkerSessionResponse
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.DeleteWorkerSessionResponse
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.DeregisterGraphRequest
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.DeregisterGraphResponse
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.ExecutorOpts
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.ExtendSessionRequest
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.ExtendSessionResponse
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.GetStatusRequest
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.GetStatusResponse
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.GetStepSequenceRequest
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.GetStepSequenceResponse
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.JobDef
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.LabeledStepStats
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.ListDevicesRequest
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.ListDevicesResponse
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.LoggingRequest
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.LoggingResponse
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.MakeCallableRequest
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.MakeCallableResponse
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.PartialRunSetupRequest
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.PartialRunSetupResponse
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.RecvBufResponse
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.RecvTensorRequest
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.RecvTensorResponse
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.RegisterGraphRequest
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.RegisterGraphResponse
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.ReleaseCallableRequest
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.ReleaseCallableResponse
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.ResetRequest
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.ResetResponse
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.RunCallableRequest
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.RunCallableResponse
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.RunGraphResponse
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.RunStepRequest
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.RunStepResponse
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.ServerDef
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.StepSequence
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.TraceOpts
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.TracingRequest
-
- getSerializedSize() - 类 中的方法org.tensorflow.distruntime.TracingResponse
-
- getSerializedSize() - 类 中的方法org.tensorflow.example.BytesList
-
- getSerializedSize() - 类 中的方法org.tensorflow.example.Example
-
- getSerializedSize() - 类 中的方法org.tensorflow.example.ExampleParserConfiguration
-
- getSerializedSize() - 类 中的方法org.tensorflow.example.Feature
-
- getSerializedSize() - 类 中的方法org.tensorflow.example.FeatureConfiguration
-
- getSerializedSize() - 类 中的方法org.tensorflow.example.FeatureList
-
- getSerializedSize() - 类 中的方法org.tensorflow.example.FeatureLists
-
- getSerializedSize() - 类 中的方法org.tensorflow.example.Features
-
- getSerializedSize() - 类 中的方法org.tensorflow.example.FixedLenFeatureProto
-
- getSerializedSize() - 类 中的方法org.tensorflow.example.FloatList
-
- getSerializedSize() - 类 中的方法org.tensorflow.example.Int64List
-
- getSerializedSize() - 类 中的方法org.tensorflow.example.SequenceExample
-
- getSerializedSize() - 类 中的方法org.tensorflow.example.VarLenFeatureProto
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.AllocationDescription
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.AllocationRecord
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.AllocatorMemoryUsed
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.ApiDef.Arg
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.ApiDef.Attr
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.ApiDef.Endpoint
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.ApiDef
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.ApiDefs
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.AssetFileDef
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.AttrValue
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.AutoParallelOptions
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.CallableOptions
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.CollectionDef.AnyList
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.CollectionDef.BytesList
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.CollectionDef.FloatList
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.CollectionDef
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.CollectionDef.Int64List
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.CollectionDef.NodeList
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.CondContextDef
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.ConfigProto.Experimental
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.ConfigProto
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.ControlFlowContextDef
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.CostGraphDef
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.CriticalSectionDef
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.CriticalSectionExecutionDef
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.DebuggedSourceFile
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.DebuggedSourceFiles
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.DebugOptions
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.DebugTensorWatch
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.DeviceAttributes
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.DeviceLocality
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.DeviceStepStats
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.FunctionDef
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.FunctionDefLibrary
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.GPUOptions.Experimental
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.GPUOptions
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.GradientDef
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.GraphDef
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.GraphOptions
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.GraphTransferConstNodeInfo
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.GraphTransferInfo
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInfo
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInput
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInputInfo
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.HistogramProto
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.InterconnectLink
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.KernelDef.AttrConstraint
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.KernelDef
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.KernelList
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.LocalLinks
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.MemoryLogRawAllocation
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.MemoryLogRawDeallocation
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.MemoryLogStep
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.MemoryLogTensorAllocation
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.MemoryLogTensorDeallocation
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.MemoryLogTensorOutput
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.MemoryStats
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.MetaGraphDef
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.NameAttrList
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.NamedTensorProto
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.NodeDef
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.NodeExecStats
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.NodeOutput
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.OpDef.ArgDef
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.OpDef.AttrDef
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.OpDef
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.OpDeprecation
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.OpList
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.OptimizerOptions
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.QueueRunnerDef
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.ReaderBaseState
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.ResourceHandleProto
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.RPCOptions
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.RunMetadata
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.RunOptions.Experimental
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.RunOptions
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.SavedModel
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.SaveSliceInfoDef
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.ScopedAllocatorOptions
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.SignatureDef
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.StepStats
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.Summary.Audio
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.Summary
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.Summary.Image
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.Summary.Value
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.SummaryDescription
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.SummaryMetadata
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.SummaryMetadata.PluginData
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.TensorConnection
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.TensorDescription
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.TensorInfo.CooSparse
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.TensorInfo
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.TensorProto
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.TensorShapeProto.Dim
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.TensorShapeProto
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.TensorSliceProto.Extent
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.TensorSliceProto
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.ThreadPoolOptionProto
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.ValuesDef
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.VariableDef
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.VariantTensorDataProto
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.VersionDef
-
- getSerializedSize() - 类 中的方法org.tensorflow.framework.WhileContextDef
-
- getSerializedSize() - 类 中的方法org.tensorflow.util.BundleEntryProto
-
- getSerializedSize() - 类 中的方法org.tensorflow.util.BundleHeaderProto
-
- getSerializedSize() - 类 中的方法org.tensorflow.util.IteratorStateMetadata
-
- getSerializedSize() - 类 中的方法org.tensorflow.util.SaverDef
-
- getSerializedSize() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
- getSerializedSize() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
-
- getSerializedSize() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
-
- getSerializedSize() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
-
- getSerializedSize() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
-
- getSerializedSize() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties
-
- getSerializedSize() - 类 中的方法tensorflow.DevicePropertiesProtos.NamedDevice
-
- getSerializedSize() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
-
- getSerializedSize() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
-
- getSerializedSize() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
-
- getSerializedSize() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
-
- getSerializedSize() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
-
- getSerializedSize() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
-
- getSerializedSize() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
-
- getSerializedSize() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
-
- getSerializedSize() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation
-
- getSerializedSize() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem
-
- getSerializedSize() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
-
- getSerializedSize() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
-
- getSerializedSize() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
-
- getSerializedSize() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
-
- getSerializedSize() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
-
- getSerializedSize() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse
-
- getSerializedSize() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
-
- getSerializedSize() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
-
- getSerializedSize() - 类 中的方法tensorflow.serving.Classification.Class
-
- getSerializedSize() - 类 中的方法tensorflow.serving.Classification.ClassificationRequest
-
- getSerializedSize() - 类 中的方法tensorflow.serving.Classification.ClassificationResponse
-
- getSerializedSize() - 类 中的方法tensorflow.serving.Classification.ClassificationResult
-
- getSerializedSize() - 类 中的方法tensorflow.serving.Classification.Classifications
-
- getSerializedSize() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
-
- getSerializedSize() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
-
- getSerializedSize() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All
-
- getSerializedSize() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
-
- getSerializedSize() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest
-
- getSerializedSize() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific
-
- getSerializedSize() - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
-
- getSerializedSize() - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
-
- getSerializedSize() - 类 中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap
-
- getSerializedSize() - 类 中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest
-
- getSerializedSize() - 类 中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
-
- getSerializedSize() - 类 中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus
-
- getSerializedSize() - 类 中的方法tensorflow.serving.Inference.InferenceResult
-
- getSerializedSize() - 类 中的方法tensorflow.serving.Inference.InferenceTask
-
- getSerializedSize() - 类 中的方法tensorflow.serving.Inference.MultiInferenceRequest
-
- getSerializedSize() - 类 中的方法tensorflow.serving.Inference.MultiInferenceResponse
-
- getSerializedSize() - 类 中的方法tensorflow.serving.InputOuterClass.ExampleList
-
- getSerializedSize() - 类 中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext
-
- getSerializedSize() - 类 中的方法tensorflow.serving.InputOuterClass.Input
-
- getSerializedSize() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList
-
- getSerializedSize() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
-
- getSerializedSize() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
-
- getSerializedSize() - 类 中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
-
- getSerializedSize() - 类 中的方法tensorflow.serving.Logging.LogMetadata
-
- getSerializedSize() - 类 中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
-
- getSerializedSize() - 类 中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig
-
- getSerializedSize() - 类 中的方法tensorflow.serving.Model.ModelSpec
-
- getSerializedSize() - 类 中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest
-
- getSerializedSize() - 类 中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse
-
- getSerializedSize() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
-
- getSerializedSize() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
-
- getSerializedSize() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
-
- getSerializedSize() - 类 中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig
-
- getSerializedSize() - 类 中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
-
- getSerializedSize() - 类 中的方法tensorflow.serving.Predict.PredictRequest
-
- getSerializedSize() - 类 中的方法tensorflow.serving.Predict.PredictResponse
-
- getSerializedSize() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog
-
- getSerializedSize() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
-
- getSerializedSize() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
-
- getSerializedSize() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog
-
- getSerializedSize() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog
-
- getSerializedSize() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog
-
- getSerializedSize() - 类 中的方法tensorflow.serving.RegressionOuterClass.Regression
-
- getSerializedSize() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest
-
- getSerializedSize() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse
-
- getSerializedSize() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionResult
-
- getSerializedSize() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
-
- getSerializedSize() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
-
- getSerializedSize() - 类 中的方法tensorflow.serving.SslConfig.SSLConfig
-
- getSerializedSize() - 类 中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
-
- getSerializedSize() - 类 中的方法tensorflow.serving.Status.StatusProto
-
- getSerializedSize() - 类 中的方法tensorflow.TransportOptions.RecvBufRespExtra
-
- getServableName() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder
-
已过时。
- getServableName() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
-
已过时。
- getServableName() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder
-
The servable name to supply in aspired-versions callback calls.
- getServableName() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
-
The servable name to supply in aspired-versions callback calls.
- getServableName() - 接口 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitorOrBuilder
-
The servable name to supply in aspired-versions callback calls.
- getServableName() - 接口 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfigOrBuilder
-
已过时。
- getServableName() - 类 中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder
-
The single servable name, version number and path to supply statically.
- getServableName() - 类 中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
-
The single servable name, version number and path to supply statically.
- getServableName() - 接口 中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfigOrBuilder
-
The single servable name, version number and path to supply statically.
- getServableNameBytes() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder
-
已过时。
- getServableNameBytes() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
-
已过时。
- getServableNameBytes() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder
-
The servable name to supply in aspired-versions callback calls.
- getServableNameBytes() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
-
The servable name to supply in aspired-versions callback calls.
- getServableNameBytes() - 接口 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitorOrBuilder
-
The servable name to supply in aspired-versions callback calls.
- getServableNameBytes() - 接口 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfigOrBuilder
-
已过时。
- getServableNameBytes() - 类 中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder
-
The single servable name, version number and path to supply statically.
- getServableNameBytes() - 类 中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
-
The single servable name, version number and path to supply statically.
- getServableNameBytes() - 接口 中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfigOrBuilder
-
The single servable name, version number and path to supply statically.
- getServables(int) - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder
-
The servables to monitor for new versions, and aspire.
- getServables(int) - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
-
The servables to monitor for new versions, and aspire.
- getServables(int) - 接口 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfigOrBuilder
-
The servables to monitor for new versions, and aspire.
- getServablesBuilder(int) - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder
-
The servables to monitor for new versions, and aspire.
- getServablesBuilderList() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder
-
The servables to monitor for new versions, and aspire.
- getServablesCount() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder
-
The servables to monitor for new versions, and aspire.
- getServablesCount() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
-
The servables to monitor for new versions, and aspire.
- getServablesCount() - 接口 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfigOrBuilder
-
The servables to monitor for new versions, and aspire.
- getServablesList() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder
-
The servables to monitor for new versions, and aspire.
- getServablesList() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
-
The servables to monitor for new versions, and aspire.
- getServablesList() - 接口 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfigOrBuilder
-
The servables to monitor for new versions, and aspire.
- getServablesOrBuilder(int) - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder
-
The servables to monitor for new versions, and aspire.
- getServablesOrBuilder(int) - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
-
The servables to monitor for new versions, and aspire.
- getServablesOrBuilder(int) - 接口 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfigOrBuilder
-
The servables to monitor for new versions, and aspire.
- getServablesOrBuilderList() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.Builder
-
The servables to monitor for new versions, and aspire.
- getServablesOrBuilderList() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
-
The servables to monitor for new versions, and aspire.
- getServablesOrBuilderList() - 接口 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfigOrBuilder
-
The servables to monitor for new versions, and aspire.
- getServableVersionPolicy() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder
-
The policy to determines the number of versions of the servable to be
served at the same time.
- getServableVersionPolicy() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
-
The policy to determines the number of versions of the servable to be
served at the same time.
- getServableVersionPolicy() - 接口 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitorOrBuilder
-
The policy to determines the number of versions of the servable to be
served at the same time.
- getServableVersionPolicyBuilder() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder
-
The policy to determines the number of versions of the servable to be
served at the same time.
- getServableVersionPolicyOrBuilder() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor.Builder
-
The policy to determines the number of versions of the servable to be
served at the same time.
- getServableVersionPolicyOrBuilder() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
-
The policy to determines the number of versions of the servable to be
served at the same time.
- getServableVersionPolicyOrBuilder() - 接口 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitorOrBuilder
-
The policy to determines the number of versions of the servable to be
served at the same time.
- getServerCert() - 类 中的方法tensorflow.serving.SslConfig.SSLConfig.Builder
-
public server certificate
string server_cert = 2;
- getServerCert() - 类 中的方法tensorflow.serving.SslConfig.SSLConfig
-
public server certificate
string server_cert = 2;
- getServerCert() - 接口 中的方法tensorflow.serving.SslConfig.SSLConfigOrBuilder
-
public server certificate
string server_cert = 2;
- getServerCertBytes() - 类 中的方法tensorflow.serving.SslConfig.SSLConfig.Builder
-
public server certificate
string server_cert = 2;
- getServerCertBytes() - 类 中的方法tensorflow.serving.SslConfig.SSLConfig
-
public server certificate
string server_cert = 2;
- getServerCertBytes() - 接口 中的方法tensorflow.serving.SslConfig.SSLConfigOrBuilder
-
public server certificate
string server_cert = 2;
- getServerDef() - 类 中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
-
Defines the configuration of a TensorFlow worker.
- getServerDef() - 类 中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest
-
Defines the configuration of a TensorFlow worker.
- getServerDef() - 接口 中的方法org.tensorflow.distruntime.CreateWorkerSessionRequestOrBuilder
-
Defines the configuration of a TensorFlow worker.
- getServerDef() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
-
Identifies the full cluster, and this particular worker's position within.
- getServerDef() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
-
Identifies the full cluster, and this particular worker's position within.
- getServerDef() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequestOrBuilder
-
Identifies the full cluster, and this particular worker's position within.
- getServerDefBuilder() - 类 中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
-
Defines the configuration of a TensorFlow worker.
- getServerDefBuilder() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
-
Identifies the full cluster, and this particular worker's position within.
- getServerDefOrBuilder() - 类 中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
-
Defines the configuration of a TensorFlow worker.
- getServerDefOrBuilder() - 类 中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest
-
Defines the configuration of a TensorFlow worker.
- getServerDefOrBuilder() - 接口 中的方法org.tensorflow.distruntime.CreateWorkerSessionRequestOrBuilder
-
Defines the configuration of a TensorFlow worker.
- getServerDefOrBuilder() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
-
Identifies the full cluster, and this particular worker's position within.
- getServerDefOrBuilder() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
-
Identifies the full cluster, and this particular worker's position within.
- getServerDefOrBuilder() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequestOrBuilder
-
Identifies the full cluster, and this particular worker's position within.
- getServerKey() - 类 中的方法tensorflow.serving.SslConfig.SSLConfig.Builder
-
private server key for SSL
string server_key = 1;
- getServerKey() - 类 中的方法tensorflow.serving.SslConfig.SSLConfig
-
private server key for SSL
string server_key = 1;
- getServerKey() - 接口 中的方法tensorflow.serving.SslConfig.SSLConfigOrBuilder
-
private server key for SSL
string server_key = 1;
- getServerKeyBytes() - 类 中的方法tensorflow.serving.SslConfig.SSLConfig.Builder
-
private server key for SSL
string server_key = 1;
- getServerKeyBytes() - 类 中的方法tensorflow.serving.SslConfig.SSLConfig
-
private server key for SSL
string server_key = 1;
- getServerKeyBytes() - 接口 中的方法tensorflow.serving.SslConfig.SSLConfigOrBuilder
-
private server key for SSL
string server_key = 1;
- getServerLocality() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest.Builder
-
Optional information on server-side device locality.
- getServerLocality() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest
-
Optional information on server-side device locality.
- getServerLocality() - 接口 中的方法org.tensorflow.distruntime.RecvBufRequestOrBuilder
-
Optional information on server-side device locality.
- getServerLocality() - 类 中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder
-
Optional information on server-side device locality.
- getServerLocality() - 类 中的方法org.tensorflow.distruntime.RecvTensorRequest
-
Optional information on server-side device locality.
- getServerLocality() - 接口 中的方法org.tensorflow.distruntime.RecvTensorRequestOrBuilder
-
Optional information on server-side device locality.
- getServerLocalityBuilder() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest.Builder
-
Optional information on server-side device locality.
- getServerLocalityBuilder() - 类 中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder
-
Optional information on server-side device locality.
- getServerLocalityOrBuilder() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest.Builder
-
Optional information on server-side device locality.
- getServerLocalityOrBuilder() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest
-
Optional information on server-side device locality.
- getServerLocalityOrBuilder() - 接口 中的方法org.tensorflow.distruntime.RecvBufRequestOrBuilder
-
Optional information on server-side device locality.
- getServerLocalityOrBuilder() - 类 中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder
-
Optional information on server-side device locality.
- getServerLocalityOrBuilder() - 类 中的方法org.tensorflow.distruntime.RecvTensorRequest
-
Optional information on server-side device locality.
- getServerLocalityOrBuilder() - 接口 中的方法org.tensorflow.distruntime.RecvTensorRequestOrBuilder
-
Optional information on server-side device locality.
- getServiceDescriptor() - 类 中的静态方法org.tensorflow.distruntime.MasterServiceGrpc
-
- getServiceDescriptor() - 类 中的静态方法org.tensorflow.distruntime.WorkerServiceGrpc
-
- getServiceDescriptor() - 类 中的静态方法tensorflow.eager.EagerServiceGrpc
-
- getServiceDescriptor() - 类 中的静态方法tensorflow.serving.ModelServiceGrpc
-
- getServiceDescriptor() - 类 中的静态方法tensorflow.serving.PredictionServiceGrpc
-
- getServiceDescriptor() - 类 中的静态方法tensorflow.serving.SessionServiceGrpc
-
- getSessionHandle() - 类 中的方法org.tensorflow.distruntime.CloseSessionRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - 类 中的方法org.tensorflow.distruntime.CloseSessionRequest
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - 接口 中的方法org.tensorflow.distruntime.CloseSessionRequestOrBuilder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - 类 中的方法org.tensorflow.distruntime.CreateSessionResponse.Builder
-
The session handle to be used in subsequent calls for the created session.
- getSessionHandle() - 类 中的方法org.tensorflow.distruntime.CreateSessionResponse
-
The session handle to be used in subsequent calls for the created session.
- getSessionHandle() - 接口 中的方法org.tensorflow.distruntime.CreateSessionResponseOrBuilder
-
The session handle to be used in subsequent calls for the created session.
- getSessionHandle() - 类 中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
-
Sessions are identified by a given handle.
- getSessionHandle() - 类 中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest
-
Sessions are identified by a given handle.
- getSessionHandle() - 接口 中的方法org.tensorflow.distruntime.CreateWorkerSessionRequestOrBuilder
-
Sessions are identified by a given handle.
- getSessionHandle() - 类 中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
-
Sessions are identified by a given handle.
- getSessionHandle() - 类 中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest
-
Sessions are identified by a given handle.
- getSessionHandle() - 接口 中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequestOrBuilder
-
Sessions are identified by a given handle.
- getSessionHandle() - 类 中的方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder
-
The session_handle used when registering the graph.
- getSessionHandle() - 类 中的方法org.tensorflow.distruntime.DeregisterGraphRequest
-
The session_handle used when registering the graph.
- getSessionHandle() - 接口 中的方法org.tensorflow.distruntime.DeregisterGraphRequestOrBuilder
-
The session_handle used when registering the graph.
- getSessionHandle() - 类 中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - 类 中的方法org.tensorflow.distruntime.ExtendSessionRequest
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - 接口 中的方法org.tensorflow.distruntime.ExtendSessionRequestOrBuilder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - 类 中的方法org.tensorflow.distruntime.ListDevicesRequest.Builder
-
Optional: session_handle must be returned by a CreateSession call to the
same master service.
- getSessionHandle() - 类 中的方法org.tensorflow.distruntime.ListDevicesRequest
-
Optional: session_handle must be returned by a CreateSession call to the
same master service.
- getSessionHandle() - 接口 中的方法org.tensorflow.distruntime.ListDevicesRequestOrBuilder
-
Optional: session_handle must be returned by a CreateSession call to the
same master service.
- getSessionHandle() - 类 中的方法org.tensorflow.distruntime.MakeCallableRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - 类 中的方法org.tensorflow.distruntime.MakeCallableRequest
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - 接口 中的方法org.tensorflow.distruntime.MakeCallableRequestOrBuilder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - 类 中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - 类 中的方法org.tensorflow.distruntime.PartialRunSetupRequest
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - 接口 中的方法org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - 类 中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
Subgraphs are scoped within one session.
- getSessionHandle() - 类 中的方法org.tensorflow.distruntime.RegisterGraphRequest
-
Subgraphs are scoped within one session.
- getSessionHandle() - 接口 中的方法org.tensorflow.distruntime.RegisterGraphRequestOrBuilder
-
Subgraphs are scoped within one session.
- getSessionHandle() - 类 中的方法org.tensorflow.distruntime.ReleaseCallableRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - 类 中的方法org.tensorflow.distruntime.ReleaseCallableRequest
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - 接口 中的方法org.tensorflow.distruntime.ReleaseCallableRequestOrBuilder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - 类 中的方法org.tensorflow.distruntime.RunCallableRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - 类 中的方法org.tensorflow.distruntime.RunCallableRequest
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - 接口 中的方法org.tensorflow.distruntime.RunCallableRequestOrBuilder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
-
session_handle is the master-generated unique id for this session.
- getSessionHandle() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest
-
session_handle is the master-generated unique id for this session.
- getSessionHandle() - 接口 中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
session_handle is the master-generated unique id for this session.
- getSessionHandle() - 类 中的方法org.tensorflow.distruntime.RunStepRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - 类 中的方法org.tensorflow.distruntime.RunStepRequest
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandle() - 接口 中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - 类 中的方法org.tensorflow.distruntime.CloseSessionRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - 类 中的方法org.tensorflow.distruntime.CloseSessionRequest
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - 接口 中的方法org.tensorflow.distruntime.CloseSessionRequestOrBuilder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - 类 中的方法org.tensorflow.distruntime.CreateSessionResponse.Builder
-
The session handle to be used in subsequent calls for the created session.
- getSessionHandleBytes() - 类 中的方法org.tensorflow.distruntime.CreateSessionResponse
-
The session handle to be used in subsequent calls for the created session.
- getSessionHandleBytes() - 接口 中的方法org.tensorflow.distruntime.CreateSessionResponseOrBuilder
-
The session handle to be used in subsequent calls for the created session.
- getSessionHandleBytes() - 类 中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
-
Sessions are identified by a given handle.
- getSessionHandleBytes() - 类 中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest
-
Sessions are identified by a given handle.
- getSessionHandleBytes() - 接口 中的方法org.tensorflow.distruntime.CreateWorkerSessionRequestOrBuilder
-
Sessions are identified by a given handle.
- getSessionHandleBytes() - 类 中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
-
Sessions are identified by a given handle.
- getSessionHandleBytes() - 类 中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest
-
Sessions are identified by a given handle.
- getSessionHandleBytes() - 接口 中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequestOrBuilder
-
Sessions are identified by a given handle.
- getSessionHandleBytes() - 类 中的方法org.tensorflow.distruntime.DeregisterGraphRequest.Builder
-
The session_handle used when registering the graph.
- getSessionHandleBytes() - 类 中的方法org.tensorflow.distruntime.DeregisterGraphRequest
-
The session_handle used when registering the graph.
- getSessionHandleBytes() - 接口 中的方法org.tensorflow.distruntime.DeregisterGraphRequestOrBuilder
-
The session_handle used when registering the graph.
- getSessionHandleBytes() - 类 中的方法org.tensorflow.distruntime.ExtendSessionRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - 类 中的方法org.tensorflow.distruntime.ExtendSessionRequest
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - 接口 中的方法org.tensorflow.distruntime.ExtendSessionRequestOrBuilder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - 类 中的方法org.tensorflow.distruntime.ListDevicesRequest.Builder
-
Optional: session_handle must be returned by a CreateSession call to the
same master service.
- getSessionHandleBytes() - 类 中的方法org.tensorflow.distruntime.ListDevicesRequest
-
Optional: session_handle must be returned by a CreateSession call to the
same master service.
- getSessionHandleBytes() - 接口 中的方法org.tensorflow.distruntime.ListDevicesRequestOrBuilder
-
Optional: session_handle must be returned by a CreateSession call to the
same master service.
- getSessionHandleBytes() - 类 中的方法org.tensorflow.distruntime.MakeCallableRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - 类 中的方法org.tensorflow.distruntime.MakeCallableRequest
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - 接口 中的方法org.tensorflow.distruntime.MakeCallableRequestOrBuilder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - 类 中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - 类 中的方法org.tensorflow.distruntime.PartialRunSetupRequest
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - 接口 中的方法org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - 类 中的方法org.tensorflow.distruntime.RegisterGraphRequest.Builder
-
Subgraphs are scoped within one session.
- getSessionHandleBytes() - 类 中的方法org.tensorflow.distruntime.RegisterGraphRequest
-
Subgraphs are scoped within one session.
- getSessionHandleBytes() - 接口 中的方法org.tensorflow.distruntime.RegisterGraphRequestOrBuilder
-
Subgraphs are scoped within one session.
- getSessionHandleBytes() - 类 中的方法org.tensorflow.distruntime.ReleaseCallableRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - 类 中的方法org.tensorflow.distruntime.ReleaseCallableRequest
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - 接口 中的方法org.tensorflow.distruntime.ReleaseCallableRequestOrBuilder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - 类 中的方法org.tensorflow.distruntime.RunCallableRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - 类 中的方法org.tensorflow.distruntime.RunCallableRequest
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - 接口 中的方法org.tensorflow.distruntime.RunCallableRequestOrBuilder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
-
session_handle is the master-generated unique id for this session.
- getSessionHandleBytes() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest
-
session_handle is the master-generated unique id for this session.
- getSessionHandleBytes() - 接口 中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
session_handle is the master-generated unique id for this session.
- getSessionHandleBytes() - 类 中的方法org.tensorflow.distruntime.RunStepRequest.Builder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - 类 中的方法org.tensorflow.distruntime.RunStepRequest
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionHandleBytes() - 接口 中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder
-
REQUIRED: session_handle must be returned by a CreateSession call
to the same master service.
- getSessionInterOpThreadPool(int) - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
This option is experimental - it may be replaced with a different mechanism
in the future.
- getSessionInterOpThreadPool(int) - 类 中的方法org.tensorflow.framework.ConfigProto
-
This option is experimental - it may be replaced with a different mechanism
in the future.
- getSessionInterOpThreadPool(int) - 接口 中的方法org.tensorflow.framework.ConfigProtoOrBuilder
-
This option is experimental - it may be replaced with a different mechanism
in the future.
- getSessionInterOpThreadPoolBuilder(int) - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
This option is experimental - it may be replaced with a different mechanism
in the future.
- getSessionInterOpThreadPoolBuilderList() - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
This option is experimental - it may be replaced with a different mechanism
in the future.
- getSessionInterOpThreadPoolCount() - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
This option is experimental - it may be replaced with a different mechanism
in the future.
- getSessionInterOpThreadPoolCount() - 类 中的方法org.tensorflow.framework.ConfigProto
-
This option is experimental - it may be replaced with a different mechanism
in the future.
- getSessionInterOpThreadPoolCount() - 接口 中的方法org.tensorflow.framework.ConfigProtoOrBuilder
-
This option is experimental - it may be replaced with a different mechanism
in the future.
- getSessionInterOpThreadPoolList() - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
This option is experimental - it may be replaced with a different mechanism
in the future.
- getSessionInterOpThreadPoolList() - 类 中的方法org.tensorflow.framework.ConfigProto
-
This option is experimental - it may be replaced with a different mechanism
in the future.
- getSessionInterOpThreadPoolList() - 接口 中的方法org.tensorflow.framework.ConfigProtoOrBuilder
-
This option is experimental - it may be replaced with a different mechanism
in the future.
- getSessionInterOpThreadPoolOrBuilder(int) - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
This option is experimental - it may be replaced with a different mechanism
in the future.
- getSessionInterOpThreadPoolOrBuilder(int) - 类 中的方法org.tensorflow.framework.ConfigProto
-
This option is experimental - it may be replaced with a different mechanism
in the future.
- getSessionInterOpThreadPoolOrBuilder(int) - 接口 中的方法org.tensorflow.framework.ConfigProtoOrBuilder
-
This option is experimental - it may be replaced with a different mechanism
in the future.
- getSessionInterOpThreadPoolOrBuilderList() - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
This option is experimental - it may be replaced with a different mechanism
in the future.
- getSessionInterOpThreadPoolOrBuilderList() - 类 中的方法org.tensorflow.framework.ConfigProto
-
This option is experimental - it may be replaced with a different mechanism
in the future.
- getSessionInterOpThreadPoolOrBuilderList() - 接口 中的方法org.tensorflow.framework.ConfigProtoOrBuilder
-
This option is experimental - it may be replaced with a different mechanism
in the future.
- getSessionRunLog() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
-
.tensorflow.serving.SessionRunLog session_run_log = 5;
- getSessionRunLog() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
-
.tensorflow.serving.SessionRunLog session_run_log = 5;
- getSessionRunLog() - 接口 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLogOrBuilder
-
.tensorflow.serving.SessionRunLog session_run_log = 5;
- getSessionRunLogBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
-
.tensorflow.serving.SessionRunLog session_run_log = 5;
- getSessionRunLogOrBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog.Builder
-
.tensorflow.serving.SessionRunLog session_run_log = 5;
- getSessionRunLogOrBuilder() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
-
.tensorflow.serving.SessionRunLog session_run_log = 5;
- getSessionRunLogOrBuilder() - 接口 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLogOrBuilder
-
.tensorflow.serving.SessionRunLog session_run_log = 5;
- getSessionRunMethod() - 类 中的静态方法tensorflow.serving.SessionServiceGrpc
-
- getShape() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
.tensorflow.TensorShapeProto shape = 4;
- getShape() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest
-
.tensorflow.TensorShapeProto shape = 4;
- getShape() - 接口 中的方法org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder
-
.tensorflow.TensorShapeProto shape = 4;
- getShape() - 类 中的方法org.tensorflow.example.FixedLenFeatureProto.Builder
-
.tensorflow.TensorShapeProto shape = 2;
- getShape() - 类 中的方法org.tensorflow.example.FixedLenFeatureProto
-
.tensorflow.TensorShapeProto shape = 2;
- getShape() - 接口 中的方法org.tensorflow.example.FixedLenFeatureProtoOrBuilder
-
.tensorflow.TensorShapeProto shape = 2;
- getShape() - 类 中的方法org.tensorflow.framework.AttrValue.Builder
-
"shape"
.tensorflow.TensorShapeProto shape = 7;
- getShape() - 类 中的方法org.tensorflow.framework.AttrValue
-
"shape"
.tensorflow.TensorShapeProto shape = 7;
- getShape(int) - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(shape)"
repeated .tensorflow.TensorShapeProto shape = 7;
- getShape(int) - 类 中的方法org.tensorflow.framework.AttrValue.ListValue
-
"list(shape)"
repeated .tensorflow.TensorShapeProto shape = 7;
- getShape(int) - 接口 中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(shape)"
repeated .tensorflow.TensorShapeProto shape = 7;
- getShape() - 接口 中的方法org.tensorflow.framework.AttrValueOrBuilder
-
"shape"
.tensorflow.TensorShapeProto shape = 7;
- getShape() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
.tensorflow.TensorShapeProto shape = 3;
- getShape() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
.tensorflow.TensorShapeProto shape = 3;
- getShape() - 接口 中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfoOrBuilder
-
.tensorflow.TensorShapeProto shape = 3;
- getShape(int) - 类 中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
repeated int64 shape = 3;
- getShape(int) - 类 中的方法org.tensorflow.framework.GraphTransferConstNodeInfo
-
repeated int64 shape = 3;
- getShape(int) - 接口 中的方法org.tensorflow.framework.GraphTransferConstNodeInfoOrBuilder
-
repeated int64 shape = 3;
- getShape(int) - 类 中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
-
repeated int64 shape = 2;
- getShape(int) - 类 中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
-
repeated int64 shape = 2;
- getShape(int) - 接口 中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfoOrBuilder
-
repeated int64 shape = 2;
- getShape(int) - 类 中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
-
repeated int64 shape = 2;
- getShape(int) - 类 中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
-
repeated int64 shape = 2;
- getShape(int) - 接口 中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfoOrBuilder
-
repeated int64 shape = 2;
- getShape() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
.tensorflow.TensorShapeProto shape = 2;
- getShape() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
-
.tensorflow.TensorShapeProto shape = 2;
- getShape() - 接口 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder
-
.tensorflow.TensorShapeProto shape = 2;
- getShape() - 类 中的方法org.tensorflow.framework.TensorDescription.Builder
-
Shape of the tensor.
- getShape() - 类 中的方法org.tensorflow.framework.TensorDescription
-
Shape of the tensor.
- getShape() - 接口 中的方法org.tensorflow.framework.TensorDescriptionOrBuilder
-
Shape of the tensor.
- getShape() - 类 中的方法org.tensorflow.util.BundleEntryProto.Builder
-
.tensorflow.TensorShapeProto shape = 2;
- getShape() - 类 中的方法org.tensorflow.util.BundleEntryProto
-
.tensorflow.TensorShapeProto shape = 2;
- getShape() - 接口 中的方法org.tensorflow.util.BundleEntryProtoOrBuilder
-
.tensorflow.TensorShapeProto shape = 2;
- getShape(int) - 类 中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder
-
repeated .tensorflow.TensorShapeProto shape = 1;
- getShape(int) - 类 中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
-
repeated .tensorflow.TensorShapeProto shape = 1;
- getShape(int) - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponseOrBuilder
-
repeated .tensorflow.TensorShapeProto shape = 1;
- getShapeBuilder() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
.tensorflow.TensorShapeProto shape = 4;
- getShapeBuilder() - 类 中的方法org.tensorflow.example.FixedLenFeatureProto.Builder
-
.tensorflow.TensorShapeProto shape = 2;
- getShapeBuilder() - 类 中的方法org.tensorflow.framework.AttrValue.Builder
-
"shape"
.tensorflow.TensorShapeProto shape = 7;
- getShapeBuilder(int) - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(shape)"
repeated .tensorflow.TensorShapeProto shape = 7;
- getShapeBuilder() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
.tensorflow.TensorShapeProto shape = 3;
- getShapeBuilder() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
.tensorflow.TensorShapeProto shape = 2;
- getShapeBuilder() - 类 中的方法org.tensorflow.framework.TensorDescription.Builder
-
Shape of the tensor.
- getShapeBuilder() - 类 中的方法org.tensorflow.util.BundleEntryProto.Builder
-
.tensorflow.TensorShapeProto shape = 2;
- getShapeBuilder(int) - 类 中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder
-
repeated .tensorflow.TensorShapeProto shape = 1;
- getShapeBuilderList() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(shape)"
repeated .tensorflow.TensorShapeProto shape = 7;
- getShapeBuilderList() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder
-
repeated .tensorflow.TensorShapeProto shape = 1;
- getShapeCount() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(shape)"
repeated .tensorflow.TensorShapeProto shape = 7;
- getShapeCount() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue
-
"list(shape)"
repeated .tensorflow.TensorShapeProto shape = 7;
- getShapeCount() - 接口 中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(shape)"
repeated .tensorflow.TensorShapeProto shape = 7;
- getShapeCount() - 类 中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
repeated int64 shape = 3;
- getShapeCount() - 类 中的方法org.tensorflow.framework.GraphTransferConstNodeInfo
-
repeated int64 shape = 3;
- getShapeCount() - 接口 中的方法org.tensorflow.framework.GraphTransferConstNodeInfoOrBuilder
-
repeated int64 shape = 3;
- getShapeCount() - 类 中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
-
repeated int64 shape = 2;
- getShapeCount() - 类 中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
-
repeated int64 shape = 2;
- getShapeCount() - 接口 中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfoOrBuilder
-
repeated int64 shape = 2;
- getShapeCount() - 类 中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
-
repeated int64 shape = 2;
- getShapeCount() - 类 中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
-
repeated int64 shape = 2;
- getShapeCount() - 接口 中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfoOrBuilder
-
repeated int64 shape = 2;
- getShapeCount() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder
-
repeated .tensorflow.TensorShapeProto shape = 1;
- getShapeCount() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
-
repeated .tensorflow.TensorShapeProto shape = 1;
- getShapeCount() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponseOrBuilder
-
repeated .tensorflow.TensorShapeProto shape = 1;
- getShapeList() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(shape)"
repeated .tensorflow.TensorShapeProto shape = 7;
- getShapeList() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue
-
"list(shape)"
repeated .tensorflow.TensorShapeProto shape = 7;
- getShapeList() - 接口 中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(shape)"
repeated .tensorflow.TensorShapeProto shape = 7;
- getShapeList() - 类 中的方法org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
-
repeated int64 shape = 3;
- getShapeList() - 类 中的方法org.tensorflow.framework.GraphTransferConstNodeInfo
-
repeated int64 shape = 3;
- getShapeList() - 接口 中的方法org.tensorflow.framework.GraphTransferConstNodeInfoOrBuilder
-
repeated int64 shape = 3;
- getShapeList() - 类 中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
-
repeated int64 shape = 2;
- getShapeList() - 类 中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
-
repeated int64 shape = 2;
- getShapeList() - 接口 中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfoOrBuilder
-
repeated int64 shape = 2;
- getShapeList() - 类 中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
-
repeated int64 shape = 2;
- getShapeList() - 类 中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
-
repeated int64 shape = 2;
- getShapeList() - 接口 中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfoOrBuilder
-
repeated int64 shape = 2;
- getShapeList() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder
-
repeated .tensorflow.TensorShapeProto shape = 1;
- getShapeList() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
-
repeated .tensorflow.TensorShapeProto shape = 1;
- getShapeList() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponseOrBuilder
-
repeated .tensorflow.TensorShapeProto shape = 1;
- getShapeOptimization() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
Shape optimizations (default is ON)
Simplify computations made on shapes.
- getShapeOptimization() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
Shape optimizations (default is ON)
Simplify computations made on shapes.
- getShapeOptimization() - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
Shape optimizations (default is ON)
Simplify computations made on shapes.
- getShapeOptimizationValue() - 类 中的方法org.tensorflow.framework.RewriterConfig.Builder
-
Shape optimizations (default is ON)
Simplify computations made on shapes.
- getShapeOptimizationValue() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
Shape optimizations (default is ON)
Simplify computations made on shapes.
- getShapeOptimizationValue() - 接口 中的方法org.tensorflow.framework.RewriterConfigOrBuilder
-
Shape optimizations (default is ON)
Simplify computations made on shapes.
- getShapeOrBuilder() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
.tensorflow.TensorShapeProto shape = 4;
- getShapeOrBuilder() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest
-
.tensorflow.TensorShapeProto shape = 4;
- getShapeOrBuilder() - 接口 中的方法org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder
-
.tensorflow.TensorShapeProto shape = 4;
- getShapeOrBuilder() - 类 中的方法org.tensorflow.example.FixedLenFeatureProto.Builder
-
.tensorflow.TensorShapeProto shape = 2;
- getShapeOrBuilder() - 类 中的方法org.tensorflow.example.FixedLenFeatureProto
-
.tensorflow.TensorShapeProto shape = 2;
- getShapeOrBuilder() - 接口 中的方法org.tensorflow.example.FixedLenFeatureProtoOrBuilder
-
.tensorflow.TensorShapeProto shape = 2;
- getShapeOrBuilder() - 类 中的方法org.tensorflow.framework.AttrValue.Builder
-
"shape"
.tensorflow.TensorShapeProto shape = 7;
- getShapeOrBuilder() - 类 中的方法org.tensorflow.framework.AttrValue
-
"shape"
.tensorflow.TensorShapeProto shape = 7;
- getShapeOrBuilder(int) - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(shape)"
repeated .tensorflow.TensorShapeProto shape = 7;
- getShapeOrBuilder(int) - 类 中的方法org.tensorflow.framework.AttrValue.ListValue
-
"list(shape)"
repeated .tensorflow.TensorShapeProto shape = 7;
- getShapeOrBuilder(int) - 接口 中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(shape)"
repeated .tensorflow.TensorShapeProto shape = 7;
- getShapeOrBuilder() - 接口 中的方法org.tensorflow.framework.AttrValueOrBuilder
-
"shape"
.tensorflow.TensorShapeProto shape = 7;
- getShapeOrBuilder() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
.tensorflow.TensorShapeProto shape = 3;
- getShapeOrBuilder() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
.tensorflow.TensorShapeProto shape = 3;
- getShapeOrBuilder() - 接口 中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfoOrBuilder
-
.tensorflow.TensorShapeProto shape = 3;
- getShapeOrBuilder() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
.tensorflow.TensorShapeProto shape = 2;
- getShapeOrBuilder() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
-
.tensorflow.TensorShapeProto shape = 2;
- getShapeOrBuilder() - 接口 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder
-
.tensorflow.TensorShapeProto shape = 2;
- getShapeOrBuilder() - 类 中的方法org.tensorflow.framework.TensorDescription.Builder
-
Shape of the tensor.
- getShapeOrBuilder() - 类 中的方法org.tensorflow.framework.TensorDescription
-
Shape of the tensor.
- getShapeOrBuilder() - 接口 中的方法org.tensorflow.framework.TensorDescriptionOrBuilder
-
Shape of the tensor.
- getShapeOrBuilder() - 类 中的方法org.tensorflow.util.BundleEntryProto.Builder
-
.tensorflow.TensorShapeProto shape = 2;
- getShapeOrBuilder() - 类 中的方法org.tensorflow.util.BundleEntryProto
-
.tensorflow.TensorShapeProto shape = 2;
- getShapeOrBuilder() - 接口 中的方法org.tensorflow.util.BundleEntryProtoOrBuilder
-
.tensorflow.TensorShapeProto shape = 2;
- getShapeOrBuilder(int) - 类 中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder
-
repeated .tensorflow.TensorShapeProto shape = 1;
- getShapeOrBuilder(int) - 类 中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
-
repeated .tensorflow.TensorShapeProto shape = 1;
- getShapeOrBuilder(int) - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponseOrBuilder
-
repeated .tensorflow.TensorShapeProto shape = 1;
- getShapeOrBuilderList() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(shape)"
repeated .tensorflow.TensorShapeProto shape = 7;
- getShapeOrBuilderList() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue
-
"list(shape)"
repeated .tensorflow.TensorShapeProto shape = 7;
- getShapeOrBuilderList() - 接口 中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(shape)"
repeated .tensorflow.TensorShapeProto shape = 7;
- getShapeOrBuilderList() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse.Builder
-
repeated .tensorflow.TensorShapeProto shape = 1;
- getShapeOrBuilderList() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
-
repeated .tensorflow.TensorShapeProto shape = 1;
- getShapeOrBuilderList() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponseOrBuilder
-
repeated .tensorflow.TensorShapeProto shape = 1;
- getShapesOutputTensorName() - 类 中的方法org.tensorflow.example.VarLenFeatureProto.Builder
-
string shapes_output_tensor_name = 4;
- getShapesOutputTensorName() - 类 中的方法org.tensorflow.example.VarLenFeatureProto
-
string shapes_output_tensor_name = 4;
- getShapesOutputTensorName() - 接口 中的方法org.tensorflow.example.VarLenFeatureProtoOrBuilder
-
string shapes_output_tensor_name = 4;
- getShapesOutputTensorNameBytes() - 类 中的方法org.tensorflow.example.VarLenFeatureProto.Builder
-
string shapes_output_tensor_name = 4;
- getShapesOutputTensorNameBytes() - 类 中的方法org.tensorflow.example.VarLenFeatureProto
-
string shapes_output_tensor_name = 4;
- getShapesOutputTensorNameBytes() - 接口 中的方法org.tensorflow.example.VarLenFeatureProtoOrBuilder
-
string shapes_output_tensor_name = 4;
- getSharded() - 类 中的方法org.tensorflow.util.SaverDef.Builder
-
Shard the save files, one per device that has Variable nodes.
- getSharded() - 类 中的方法org.tensorflow.util.SaverDef
-
Shard the save files, one per device that has Variable nodes.
- getSharded() - 接口 中的方法org.tensorflow.util.SaverDefOrBuilder
-
Shard the save files, one per device that has Variable nodes.
- getShardId() - 类 中的方法org.tensorflow.util.BundleEntryProto.Builder
-
The binary content of the tensor lies in:
File "shard_id": bytes [offset, offset + size).
- getShardId() - 类 中的方法org.tensorflow.util.BundleEntryProto
-
The binary content of the tensor lies in:
File "shard_id": bytes [offset, offset + size).
- getShardId() - 接口 中的方法org.tensorflow.util.BundleEntryProtoOrBuilder
-
The binary content of the tensor lies in:
File "shard_id": bytes [offset, offset + size).
- getSharedMemorySizePerMultiprocessor() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Shared memory size per multiprocessor in bytes.
- getSharedMemorySizePerMultiprocessor() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties
-
Shared memory size per multiprocessor in bytes.
- getSharedMemorySizePerMultiprocessor() - 接口 中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
Shared memory size per multiprocessor in bytes.
- getSignature() - 类 中的方法org.tensorflow.framework.FunctionDef.Builder
-
The definition of the function's name, arguments, return values,
attrs etc.
- getSignature() - 类 中的方法org.tensorflow.framework.FunctionDef
-
The definition of the function's name, arguments, return values,
attrs etc.
- getSignature() - 接口 中的方法org.tensorflow.framework.FunctionDefOrBuilder
-
The definition of the function's name, arguments, return values,
attrs etc.
- getSignatureBuilder() - 类 中的方法org.tensorflow.framework.FunctionDef.Builder
-
The definition of the function's name, arguments, return values,
attrs etc.
- getSignatureDef() - 类 中的方法org.tensorflow.framework.MetaGraphDef.Builder
-
已过时。
- getSignatureDef() - 类 中的方法org.tensorflow.framework.MetaGraphDef
-
已过时。
- getSignatureDef() - 接口 中的方法org.tensorflow.framework.MetaGraphDefOrBuilder
-
已过时。
- getSignatureDef() - 类 中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder
-
已过时。
- getSignatureDef() - 类 中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap
-
已过时。
- getSignatureDef() - 接口 中的方法tensorflow.serving.GetModelMetadata.SignatureDefMapOrBuilder
-
已过时。
- getSignatureDefCount() - 类 中的方法org.tensorflow.framework.MetaGraphDef.Builder
-
- getSignatureDefCount() - 类 中的方法org.tensorflow.framework.MetaGraphDef
-
- getSignatureDefCount() - 接口 中的方法org.tensorflow.framework.MetaGraphDefOrBuilder
-
signature_def: Map from user supplied key for a signature to a single
SignatureDef.
- getSignatureDefCount() - 类 中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder
-
- getSignatureDefCount() - 类 中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap
-
- getSignatureDefCount() - 接口 中的方法tensorflow.serving.GetModelMetadata.SignatureDefMapOrBuilder
-
map<string, .tensorflow.SignatureDef> signature_def = 1;
- getSignatureDefMap() - 类 中的方法org.tensorflow.framework.MetaGraphDef.Builder
-
signature_def: Map from user supplied key for a signature to a single
SignatureDef.
- getSignatureDefMap() - 类 中的方法org.tensorflow.framework.MetaGraphDef
-
signature_def: Map from user supplied key for a signature to a single
SignatureDef.
- getSignatureDefMap() - 接口 中的方法org.tensorflow.framework.MetaGraphDefOrBuilder
-
signature_def: Map from user supplied key for a signature to a single
SignatureDef.
- getSignatureDefMap() - 类 中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder
-
map<string, .tensorflow.SignatureDef> signature_def = 1;
- getSignatureDefMap() - 类 中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap
-
map<string, .tensorflow.SignatureDef> signature_def = 1;
- getSignatureDefMap() - 接口 中的方法tensorflow.serving.GetModelMetadata.SignatureDefMapOrBuilder
-
map<string, .tensorflow.SignatureDef> signature_def = 1;
- getSignatureDefOrDefault(String, SignatureDef) - 类 中的方法org.tensorflow.framework.MetaGraphDef.Builder
-
signature_def: Map from user supplied key for a signature to a single
SignatureDef.
- getSignatureDefOrDefault(String, SignatureDef) - 类 中的方法org.tensorflow.framework.MetaGraphDef
-
signature_def: Map from user supplied key for a signature to a single
SignatureDef.
- getSignatureDefOrDefault(String, SignatureDef) - 接口 中的方法org.tensorflow.framework.MetaGraphDefOrBuilder
-
signature_def: Map from user supplied key for a signature to a single
SignatureDef.
- getSignatureDefOrDefault(String, SignatureDef) - 类 中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder
-
map<string, .tensorflow.SignatureDef> signature_def = 1;
- getSignatureDefOrDefault(String, SignatureDef) - 类 中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap
-
map<string, .tensorflow.SignatureDef> signature_def = 1;
- getSignatureDefOrDefault(String, SignatureDef) - 接口 中的方法tensorflow.serving.GetModelMetadata.SignatureDefMapOrBuilder
-
map<string, .tensorflow.SignatureDef> signature_def = 1;
- getSignatureDefOrThrow(String) - 类 中的方法org.tensorflow.framework.MetaGraphDef.Builder
-
signature_def: Map from user supplied key for a signature to a single
SignatureDef.
- getSignatureDefOrThrow(String) - 类 中的方法org.tensorflow.framework.MetaGraphDef
-
signature_def: Map from user supplied key for a signature to a single
SignatureDef.
- getSignatureDefOrThrow(String) - 接口 中的方法org.tensorflow.framework.MetaGraphDefOrBuilder
-
signature_def: Map from user supplied key for a signature to a single
SignatureDef.
- getSignatureDefOrThrow(String) - 类 中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap.Builder
-
map<string, .tensorflow.SignatureDef> signature_def = 1;
- getSignatureDefOrThrow(String) - 类 中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap
-
map<string, .tensorflow.SignatureDef> signature_def = 1;
- getSignatureDefOrThrow(String) - 接口 中的方法tensorflow.serving.GetModelMetadata.SignatureDefMapOrBuilder
-
map<string, .tensorflow.SignatureDef> signature_def = 1;
- getSignatureName() - 类 中的方法tensorflow.serving.Model.ModelSpec.Builder
-
A named signature to evaluate.
- getSignatureName() - 类 中的方法tensorflow.serving.Model.ModelSpec
-
A named signature to evaluate.
- getSignatureName() - 接口 中的方法tensorflow.serving.Model.ModelSpecOrBuilder
-
A named signature to evaluate.
- getSignatureNameBytes() - 类 中的方法tensorflow.serving.Model.ModelSpec.Builder
-
A named signature to evaluate.
- getSignatureNameBytes() - 类 中的方法tensorflow.serving.Model.ModelSpec
-
A named signature to evaluate.
- getSignatureNameBytes() - 接口 中的方法tensorflow.serving.Model.ModelSpecOrBuilder
-
A named signature to evaluate.
- getSignatureOrBuilder() - 类 中的方法org.tensorflow.framework.FunctionDef.Builder
-
The definition of the function's name, arguments, return values,
attrs etc.
- getSignatureOrBuilder() - 类 中的方法org.tensorflow.framework.FunctionDef
-
The definition of the function's name, arguments, return values,
attrs etc.
- getSignatureOrBuilder() - 接口 中的方法org.tensorflow.framework.FunctionDefOrBuilder
-
The definition of the function's name, arguments, return values,
attrs etc.
- getSimpleValue() - 类 中的方法org.tensorflow.framework.Summary.Value.Builder
-
float simple_value = 2;
- getSimpleValue() - 类 中的方法org.tensorflow.framework.Summary.Value
-
float simple_value = 2;
- getSimpleValue() - 接口 中的方法org.tensorflow.framework.Summary.ValueOrBuilder
-
float simple_value = 2;
- getSize() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
int64 size = 1;
- getSize() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
int64 size = 1;
- getSize() - 接口 中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfoOrBuilder
-
int64 size = 1;
- getSize() - 类 中的方法org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
Size of the tensor in that dimension.
- getSize() - 类 中的方法org.tensorflow.framework.TensorShapeProto.Dim
-
Size of the tensor in that dimension.
- getSize() - 接口 中的方法org.tensorflow.framework.TensorShapeProto.DimOrBuilder
-
Size of the tensor in that dimension.
- getSize() - 类 中的方法org.tensorflow.util.BundleEntryProto.Builder
-
int64 size = 5;
- getSize() - 类 中的方法org.tensorflow.util.BundleEntryProto
-
int64 size = 5;
- getSize() - 接口 中的方法org.tensorflow.util.BundleEntryProtoOrBuilder
-
int64 size = 5;
- getSlices(int) - 类 中的方法org.tensorflow.util.BundleEntryProto.Builder
-
Iff present, this entry represents a partitioned tensor.
- getSlices(int) - 类 中的方法org.tensorflow.util.BundleEntryProto
-
Iff present, this entry represents a partitioned tensor.
- getSlices(int) - 接口 中的方法org.tensorflow.util.BundleEntryProtoOrBuilder
-
Iff present, this entry represents a partitioned tensor.
- getSlicesBuilder(int) - 类 中的方法org.tensorflow.util.BundleEntryProto.Builder
-
Iff present, this entry represents a partitioned tensor.
- getSlicesBuilderList() - 类 中的方法org.tensorflow.util.BundleEntryProto.Builder
-
Iff present, this entry represents a partitioned tensor.
- getSlicesCount() - 类 中的方法org.tensorflow.util.BundleEntryProto.Builder
-
Iff present, this entry represents a partitioned tensor.
- getSlicesCount() - 类 中的方法org.tensorflow.util.BundleEntryProto
-
Iff present, this entry represents a partitioned tensor.
- getSlicesCount() - 接口 中的方法org.tensorflow.util.BundleEntryProtoOrBuilder
-
Iff present, this entry represents a partitioned tensor.
- getSlicesList() - 类 中的方法org.tensorflow.util.BundleEntryProto.Builder
-
Iff present, this entry represents a partitioned tensor.
- getSlicesList() - 类 中的方法org.tensorflow.util.BundleEntryProto
-
Iff present, this entry represents a partitioned tensor.
- getSlicesList() - 接口 中的方法org.tensorflow.util.BundleEntryProtoOrBuilder
-
Iff present, this entry represents a partitioned tensor.
- getSlicesOrBuilder(int) - 类 中的方法org.tensorflow.util.BundleEntryProto.Builder
-
Iff present, this entry represents a partitioned tensor.
- getSlicesOrBuilder(int) - 类 中的方法org.tensorflow.util.BundleEntryProto
-
Iff present, this entry represents a partitioned tensor.
- getSlicesOrBuilder(int) - 接口 中的方法org.tensorflow.util.BundleEntryProtoOrBuilder
-
Iff present, this entry represents a partitioned tensor.
- getSlicesOrBuilderList() - 类 中的方法org.tensorflow.util.BundleEntryProto.Builder
-
Iff present, this entry represents a partitioned tensor.
- getSlicesOrBuilderList() - 类 中的方法org.tensorflow.util.BundleEntryProto
-
Iff present, this entry represents a partitioned tensor.
- getSlicesOrBuilderList() - 接口 中的方法org.tensorflow.util.BundleEntryProtoOrBuilder
-
Iff present, this entry represents a partitioned tensor.
- getSList() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(string)"
repeated bytes s = 2;
- getSList() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue
-
"list(string)"
repeated bytes s = 2;
- getSList() - 接口 中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(string)"
repeated bytes s = 2;
- getSlot() - 类 中的方法org.tensorflow.framework.NodeOutput.Builder
-
int32 slot = 1;
- getSlot() - 类 中的方法org.tensorflow.framework.NodeOutput
-
int32 slot = 1;
- getSlot() - 接口 中的方法org.tensorflow.framework.NodeOutputOrBuilder
-
int32 slot = 1;
- getSlotName() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
-
The name of the slot (e.g.
- getSlotName() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
-
The name of the slot (e.g.
- getSlotName() - 接口 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReferenceOrBuilder
-
The name of the slot (e.g.
- getSlotNameBytes() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
-
The name of the slot (e.g.
- getSlotNameBytes() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
-
The name of the slot (e.g.
- getSlotNameBytes() - 接口 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReferenceOrBuilder
-
The name of the slot (e.g.
- getSlotVariableNodeId() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
-
An index into `CheckpointableObjectGraph.nodes`, indicating the
`Object` with the value of the slot variable.
- getSlotVariableNodeId() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
-
An index into `CheckpointableObjectGraph.nodes`, indicating the
`Object` with the value of the slot variable.
- getSlotVariableNodeId() - 接口 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReferenceOrBuilder
-
An index into `CheckpointableObjectGraph.nodes`, indicating the
`Object` with the value of the slot variable.
- getSlotVariables(int) - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Slot variables owned by this object.
- getSlotVariables(int) - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
Slot variables owned by this object.
- getSlotVariables(int) - 接口 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder
-
Slot variables owned by this object.
- getSlotVariablesBuilder(int) - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Slot variables owned by this object.
- getSlotVariablesBuilderList() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Slot variables owned by this object.
- getSlotVariablesCount() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Slot variables owned by this object.
- getSlotVariablesCount() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
Slot variables owned by this object.
- getSlotVariablesCount() - 接口 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder
-
Slot variables owned by this object.
- getSlotVariablesList() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Slot variables owned by this object.
- getSlotVariablesList() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
Slot variables owned by this object.
- getSlotVariablesList() - 接口 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder
-
Slot variables owned by this object.
- getSlotVariablesOrBuilder(int) - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Slot variables owned by this object.
- getSlotVariablesOrBuilder(int) - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
Slot variables owned by this object.
- getSlotVariablesOrBuilder(int) - 接口 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder
-
Slot variables owned by this object.
- getSlotVariablesOrBuilderList() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
-
Slot variables owned by this object.
- getSlotVariablesOrBuilderList() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
Slot variables owned by this object.
- getSlotVariablesOrBuilderList() - 接口 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObjectOrBuilder
-
Slot variables owned by this object.
- getSnapshotName() - 类 中的方法org.tensorflow.framework.VariableDef.Builder
-
Name of the snapshot tensor.
- getSnapshotName() - 类 中的方法org.tensorflow.framework.VariableDef
-
Name of the snapshot tensor.
- getSnapshotName() - 接口 中的方法org.tensorflow.framework.VariableDefOrBuilder
-
Name of the snapshot tensor.
- getSnapshotNameBytes() - 类 中的方法org.tensorflow.framework.VariableDef.Builder
-
Name of the snapshot tensor.
- getSnapshotNameBytes() - 类 中的方法org.tensorflow.framework.VariableDef
-
Name of the snapshot tensor.
- getSnapshotNameBytes() - 接口 中的方法org.tensorflow.framework.VariableDefOrBuilder
-
Name of the snapshot tensor.
- getSocOpId() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
int32 soc_op_id = 4;
- getSocOpId() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInfo
-
int32 soc_op_id = 4;
- getSocOpId() - 接口 中的方法org.tensorflow.framework.GraphTransferNodeInfoOrBuilder
-
int32 soc_op_id = 4;
- getSourceAdapterConfig() - 类 中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig.Builder
-
The config proto for a SourceAdapter in the StoragePathSourceAdapter
registry.
- getSourceAdapterConfig() - 类 中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig
-
The config proto for a SourceAdapter in the StoragePathSourceAdapter
registry.
- getSourceAdapterConfig() - 接口 中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigOrBuilder
-
The config proto for a SourceAdapter in the StoragePathSourceAdapter
registry.
- getSourceAdapterConfigBuilder() - 类 中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig.Builder
-
The config proto for a SourceAdapter in the StoragePathSourceAdapter
registry.
- getSourceAdapterConfigOrBuilder() - 类 中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig.Builder
-
The config proto for a SourceAdapter in the StoragePathSourceAdapter
registry.
- getSourceAdapterConfigOrBuilder() - 类 中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig
-
The config proto for a SourceAdapter in the StoragePathSourceAdapter
registry.
- getSourceAdapterConfigOrBuilder() - 接口 中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigOrBuilder
-
The config proto for a SourceAdapter in the StoragePathSourceAdapter
registry.
- getSourceFiles(int) - 类 中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder
-
A collection of source code files.
- getSourceFiles(int) - 类 中的方法org.tensorflow.framework.DebuggedSourceFiles
-
A collection of source code files.
- getSourceFiles(int) - 接口 中的方法org.tensorflow.framework.DebuggedSourceFilesOrBuilder
-
A collection of source code files.
- getSourceFilesBuilder(int) - 类 中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder
-
A collection of source code files.
- getSourceFilesBuilderList() - 类 中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder
-
A collection of source code files.
- getSourceFilesCount() - 类 中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder
-
A collection of source code files.
- getSourceFilesCount() - 类 中的方法org.tensorflow.framework.DebuggedSourceFiles
-
A collection of source code files.
- getSourceFilesCount() - 接口 中的方法org.tensorflow.framework.DebuggedSourceFilesOrBuilder
-
A collection of source code files.
- getSourceFilesList() - 类 中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder
-
A collection of source code files.
- getSourceFilesList() - 类 中的方法org.tensorflow.framework.DebuggedSourceFiles
-
A collection of source code files.
- getSourceFilesList() - 接口 中的方法org.tensorflow.framework.DebuggedSourceFilesOrBuilder
-
A collection of source code files.
- getSourceFilesOrBuilder(int) - 类 中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder
-
A collection of source code files.
- getSourceFilesOrBuilder(int) - 类 中的方法org.tensorflow.framework.DebuggedSourceFiles
-
A collection of source code files.
- getSourceFilesOrBuilder(int) - 接口 中的方法org.tensorflow.framework.DebuggedSourceFilesOrBuilder
-
A collection of source code files.
- getSourceFilesOrBuilderList() - 类 中的方法org.tensorflow.framework.DebuggedSourceFiles.Builder
-
A collection of source code files.
- getSourceFilesOrBuilderList() - 类 中的方法org.tensorflow.framework.DebuggedSourceFiles
-
A collection of source code files.
- getSourceFilesOrBuilderList() - 接口 中的方法org.tensorflow.framework.DebuggedSourceFilesOrBuilder
-
A collection of source code files.
- getSourceRank() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceResponse.Builder
-
int32 source_rank = 2;
- getSourceRank() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceResponse
-
int32 source_rank = 2;
- getSourceRank() - 接口 中的方法org.tensorflow.distruntime.CompleteInstanceResponseOrBuilder
-
int32 source_rank = 2;
- getSpecific() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder
-
.tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific specific = 102;
- getSpecific() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
-
.tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific specific = 102;
- getSpecific() - 接口 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicyOrBuilder
-
.tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific specific = 102;
- getSpecificBuilder() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder
-
.tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific specific = 102;
- getSpecificOrBuilder() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Builder
-
.tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific specific = 102;
- getSpecificOrBuilder() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
-
.tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific specific = 102;
- getSpecificOrBuilder() - 接口 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicyOrBuilder
-
.tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific specific = 102;
- getSrcDevice() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest.Builder
-
Optional, for annotating the timeline.
- getSrcDevice() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest
-
Optional, for annotating the timeline.
- getSrcDevice() - 接口 中的方法org.tensorflow.distruntime.RecvBufRequestOrBuilder
-
Optional, for annotating the timeline.
- getSrcDeviceBytes() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest.Builder
-
Optional, for annotating the timeline.
- getSrcDeviceBytes() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest
-
Optional, for annotating the timeline.
- getSrcDeviceBytes() - 接口 中的方法org.tensorflow.distruntime.RecvBufRequestOrBuilder
-
Optional, for annotating the timeline.
- getStart() - 类 中的方法org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
Start index of the slice, starting at 0.
- getStart() - 类 中的方法org.tensorflow.framework.TensorSliceProto.Extent
-
Start index of the slice, starting at 0.
- getStart() - 接口 中的方法org.tensorflow.framework.TensorSliceProto.ExtentOrBuilder
-
Start index of the slice, starting at 0.
- getState() - 类 中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder
-
Model state.
- getState() - 类 中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus
-
Model state.
- getState() - 接口 中的方法tensorflow.serving.GetModelStatus.ModelVersionStatusOrBuilder
-
Model state.
- getStateValue() - 类 中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder
-
Model state.
- getStateValue() - 类 中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus
-
Model state.
- getStateValue() - 接口 中的方法tensorflow.serving.GetModelStatus.ModelVersionStatusOrBuilder
-
Model state.
- getStatus(GetStatusRequest) - 类 中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceBlockingStub
-
See worker.proto for details.
- getStatus(GetStatusRequest) - 类 中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceFutureStub
-
See worker.proto for details.
- getStatus(GetStatusRequest, StreamObserver<GetStatusResponse>) - 类 中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceImplBase
-
See worker.proto for details.
- getStatus(GetStatusRequest, StreamObserver<GetStatusResponse>) - 类 中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceStub
-
See worker.proto for details.
- getStatus() - 类 中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder
-
Model status.
- getStatus() - 类 中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus
-
Model status.
- getStatus() - 接口 中的方法tensorflow.serving.GetModelStatus.ModelVersionStatusOrBuilder
-
Model status.
- getStatus() - 类 中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse.Builder
-
.tensorflow.serving.StatusProto status = 1;
- getStatus() - 类 中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse
-
.tensorflow.serving.StatusProto status = 1;
- getStatus() - 接口 中的方法tensorflow.serving.ModelManagement.ReloadConfigResponseOrBuilder
-
.tensorflow.serving.StatusProto status = 1;
- getStatusBuilder() - 类 中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder
-
Model status.
- getStatusBuilder() - 类 中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse.Builder
-
.tensorflow.serving.StatusProto status = 1;
- getStatusCode() - 类 中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
-
If store_errors_in_response_body is true in the request, then
optionally the server may return an OK status for the RPC and
fill the true status into the fields below, to allow for messages
that are too long to fit in metadata.
- getStatusCode() - 类 中的方法org.tensorflow.distruntime.RunGraphResponse
-
If store_errors_in_response_body is true in the request, then
optionally the server may return an OK status for the RPC and
fill the true status into the fields below, to allow for messages
that are too long to fit in metadata.
- getStatusCode() - 接口 中的方法org.tensorflow.distruntime.RunGraphResponseOrBuilder
-
If store_errors_in_response_body is true in the request, then
optionally the server may return an OK status for the RPC and
fill the true status into the fields below, to allow for messages
that are too long to fit in metadata.
- getStatusCode() - 类 中的方法org.tensorflow.distruntime.RunStepResponse.Builder
-
If store_errors_in_response_body is true in the request, then
optionally the server may return an OK status for the RPC and
fill the true status into the fields below, to allow for messages
that are too long to fit in metadata.
- getStatusCode() - 类 中的方法org.tensorflow.distruntime.RunStepResponse
-
If store_errors_in_response_body is true in the request, then
optionally the server may return an OK status for the RPC and
fill the true status into the fields below, to allow for messages
that are too long to fit in metadata.
- getStatusCode() - 接口 中的方法org.tensorflow.distruntime.RunStepResponseOrBuilder
-
If store_errors_in_response_body is true in the request, then
optionally the server may return an OK status for the RPC and
fill the true status into the fields below, to allow for messages
that are too long to fit in metadata.
- getStatusCodeValue() - 类 中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
-
If store_errors_in_response_body is true in the request, then
optionally the server may return an OK status for the RPC and
fill the true status into the fields below, to allow for messages
that are too long to fit in metadata.
- getStatusCodeValue() - 类 中的方法org.tensorflow.distruntime.RunGraphResponse
-
If store_errors_in_response_body is true in the request, then
optionally the server may return an OK status for the RPC and
fill the true status into the fields below, to allow for messages
that are too long to fit in metadata.
- getStatusCodeValue() - 接口 中的方法org.tensorflow.distruntime.RunGraphResponseOrBuilder
-
If store_errors_in_response_body is true in the request, then
optionally the server may return an OK status for the RPC and
fill the true status into the fields below, to allow for messages
that are too long to fit in metadata.
- getStatusCodeValue() - 类 中的方法org.tensorflow.distruntime.RunStepResponse.Builder
-
If store_errors_in_response_body is true in the request, then
optionally the server may return an OK status for the RPC and
fill the true status into the fields below, to allow for messages
that are too long to fit in metadata.
- getStatusCodeValue() - 类 中的方法org.tensorflow.distruntime.RunStepResponse
-
If store_errors_in_response_body is true in the request, then
optionally the server may return an OK status for the RPC and
fill the true status into the fields below, to allow for messages
that are too long to fit in metadata.
- getStatusCodeValue() - 接口 中的方法org.tensorflow.distruntime.RunStepResponseOrBuilder
-
If store_errors_in_response_body is true in the request, then
optionally the server may return an OK status for the RPC and
fill the true status into the fields below, to allow for messages
that are too long to fit in metadata.
- getStatusErrorMessage() - 类 中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
-
string status_error_message = 6;
- getStatusErrorMessage() - 类 中的方法org.tensorflow.distruntime.RunGraphResponse
-
string status_error_message = 6;
- getStatusErrorMessage() - 接口 中的方法org.tensorflow.distruntime.RunGraphResponseOrBuilder
-
string status_error_message = 6;
- getStatusErrorMessage() - 类 中的方法org.tensorflow.distruntime.RunStepResponse.Builder
-
string status_error_message = 4;
- getStatusErrorMessage() - 类 中的方法org.tensorflow.distruntime.RunStepResponse
-
string status_error_message = 4;
- getStatusErrorMessage() - 接口 中的方法org.tensorflow.distruntime.RunStepResponseOrBuilder
-
string status_error_message = 4;
- getStatusErrorMessageBytes() - 类 中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
-
string status_error_message = 6;
- getStatusErrorMessageBytes() - 类 中的方法org.tensorflow.distruntime.RunGraphResponse
-
string status_error_message = 6;
- getStatusErrorMessageBytes() - 接口 中的方法org.tensorflow.distruntime.RunGraphResponseOrBuilder
-
string status_error_message = 6;
- getStatusErrorMessageBytes() - 类 中的方法org.tensorflow.distruntime.RunStepResponse.Builder
-
string status_error_message = 4;
- getStatusErrorMessageBytes() - 类 中的方法org.tensorflow.distruntime.RunStepResponse
-
string status_error_message = 4;
- getStatusErrorMessageBytes() - 接口 中的方法org.tensorflow.distruntime.RunStepResponseOrBuilder
-
string status_error_message = 4;
- getStatusOrBuilder() - 类 中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder
-
Model status.
- getStatusOrBuilder() - 类 中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus
-
Model status.
- getStatusOrBuilder() - 接口 中的方法tensorflow.serving.GetModelStatus.ModelVersionStatusOrBuilder
-
Model status.
- getStatusOrBuilder() - 类 中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse.Builder
-
.tensorflow.serving.StatusProto status = 1;
- getStatusOrBuilder() - 类 中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse
-
.tensorflow.serving.StatusProto status = 1;
- getStatusOrBuilder() - 接口 中的方法tensorflow.serving.ModelManagement.ReloadConfigResponseOrBuilder
-
.tensorflow.serving.StatusProto status = 1;
- GetStatusRequest - org.tensorflow.distruntime中的类
-
Protobuf type tensorflow.GetStatusRequest
- GetStatusRequest.Builder - org.tensorflow.distruntime中的类
-
Protobuf type tensorflow.GetStatusRequest
- GetStatusRequestOrBuilder - org.tensorflow.distruntime中的接口
-
- GetStatusResponse - org.tensorflow.distruntime中的类
-
Protobuf type tensorflow.GetStatusResponse
- GetStatusResponse.Builder - org.tensorflow.distruntime中的类
-
Protobuf type tensorflow.GetStatusResponse
- GetStatusResponseOrBuilder - org.tensorflow.distruntime中的接口
-
- getStep(int) - 类 中的方法org.tensorflow.distruntime.LoggingResponse.Builder
-
repeated .tensorflow.LabeledStepStats step = 1;
- getStep(int) - 类 中的方法org.tensorflow.distruntime.LoggingResponse
-
repeated .tensorflow.LabeledStepStats step = 1;
- getStep(int) - 接口 中的方法org.tensorflow.distruntime.LoggingResponseOrBuilder
-
repeated .tensorflow.LabeledStepStats step = 1;
- getStepBuilder(int) - 类 中的方法org.tensorflow.distruntime.LoggingResponse.Builder
-
repeated .tensorflow.LabeledStepStats step = 1;
- getStepBuilderList() - 类 中的方法org.tensorflow.distruntime.LoggingResponse.Builder
-
repeated .tensorflow.LabeledStepStats step = 1;
- getStepCount() - 类 中的方法org.tensorflow.distruntime.LoggingResponse.Builder
-
repeated .tensorflow.LabeledStepStats step = 1;
- getStepCount() - 类 中的方法org.tensorflow.distruntime.LoggingResponse
-
repeated .tensorflow.LabeledStepStats step = 1;
- getStepCount() - 接口 中的方法org.tensorflow.distruntime.LoggingResponseOrBuilder
-
repeated .tensorflow.LabeledStepStats step = 1;
- getStepId() - 类 中的方法org.tensorflow.distruntime.CleanupGraphRequest.Builder
-
int64 step_id = 1;
- getStepId() - 类 中的方法org.tensorflow.distruntime.CleanupGraphRequest
-
int64 step_id = 1;
- getStepId() - 接口 中的方法org.tensorflow.distruntime.CleanupGraphRequestOrBuilder
-
int64 step_id = 1;
- getStepId() - 类 中的方法org.tensorflow.distruntime.LabeledStepStats.Builder
-
int64 step_id = 1;
- getStepId() - 类 中的方法org.tensorflow.distruntime.LabeledStepStats
-
int64 step_id = 1;
- getStepId() - 接口 中的方法org.tensorflow.distruntime.LabeledStepStatsOrBuilder
-
int64 step_id = 1;
- getStepId() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest.Builder
-
Used at server side to find the correct BufRendezvous.
- getStepId() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest
-
Used at server side to find the correct BufRendezvous.
- getStepId() - 接口 中的方法org.tensorflow.distruntime.RecvBufRequestOrBuilder
-
Used at server side to find the correct BufRendezvous.
- getStepId() - 类 中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder
-
The step in which the tensor will be produced.
- getStepId() - 类 中的方法org.tensorflow.distruntime.RecvTensorRequest
-
The step in which the tensor will be produced.
- getStepId() - 接口 中的方法org.tensorflow.distruntime.RecvTensorRequestOrBuilder
-
The step in which the tensor will be produced.
- getStepId() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
-
A unique ID to distinguish different runs of the same graph.
- getStepId() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest
-
A unique ID to distinguish different runs of the same graph.
- getStepId() - 接口 中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
A unique ID to distinguish different runs of the same graph.
- getStepId() - 类 中的方法org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Process-unique step id.
- getStepId() - 类 中的方法org.tensorflow.framework.MemoryLogRawAllocation
-
Process-unique step id.
- getStepId() - 接口 中的方法org.tensorflow.framework.MemoryLogRawAllocationOrBuilder
-
Process-unique step id.
- getStepId() - 类 中的方法org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
Process-unique step id.
- getStepId() - 类 中的方法org.tensorflow.framework.MemoryLogRawDeallocation
-
Process-unique step id.
- getStepId() - 接口 中的方法org.tensorflow.framework.MemoryLogRawDeallocationOrBuilder
-
Process-unique step id.
- getStepId() - 类 中的方法org.tensorflow.framework.MemoryLogStep.Builder
-
Process-unique step id.
- getStepId() - 类 中的方法org.tensorflow.framework.MemoryLogStep
-
Process-unique step id.
- getStepId() - 接口 中的方法org.tensorflow.framework.MemoryLogStepOrBuilder
-
Process-unique step id.
- getStepId() - 类 中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
Process-unique step id.
- getStepId() - 类 中的方法org.tensorflow.framework.MemoryLogTensorAllocation
-
Process-unique step id.
- getStepId() - 接口 中的方法org.tensorflow.framework.MemoryLogTensorAllocationOrBuilder
-
Process-unique step id.
- getStepId() - 类 中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Process-unique step id.
- getStepId() - 类 中的方法org.tensorflow.framework.MemoryLogTensorOutput
-
Process-unique step id.
- getStepId() - 接口 中的方法org.tensorflow.framework.MemoryLogTensorOutputOrBuilder
-
Process-unique step id.
- getStepList() - 类 中的方法org.tensorflow.distruntime.LoggingResponse.Builder
-
repeated .tensorflow.LabeledStepStats step = 1;
- getStepList() - 类 中的方法org.tensorflow.distruntime.LoggingResponse
-
repeated .tensorflow.LabeledStepStats step = 1;
- getStepList() - 接口 中的方法org.tensorflow.distruntime.LoggingResponseOrBuilder
-
repeated .tensorflow.LabeledStepStats step = 1;
- getStepOrBuilder(int) - 类 中的方法org.tensorflow.distruntime.LoggingResponse.Builder
-
repeated .tensorflow.LabeledStepStats step = 1;
- getStepOrBuilder(int) - 类 中的方法org.tensorflow.distruntime.LoggingResponse
-
repeated .tensorflow.LabeledStepStats step = 1;
- getStepOrBuilder(int) - 接口 中的方法org.tensorflow.distruntime.LoggingResponseOrBuilder
-
repeated .tensorflow.LabeledStepStats step = 1;
- getStepOrBuilderList() - 类 中的方法org.tensorflow.distruntime.LoggingResponse.Builder
-
repeated .tensorflow.LabeledStepStats step = 1;
- getStepOrBuilderList() - 类 中的方法org.tensorflow.distruntime.LoggingResponse
-
repeated .tensorflow.LabeledStepStats step = 1;
- getStepOrBuilderList() - 接口 中的方法org.tensorflow.distruntime.LoggingResponseOrBuilder
-
repeated .tensorflow.LabeledStepStats step = 1;
- getStepSequence(int) - 类 中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder
-
repeated .tensorflow.StepSequence step_sequence = 1;
- getStepSequence(int) - 类 中的方法org.tensorflow.distruntime.GetStepSequenceResponse
-
repeated .tensorflow.StepSequence step_sequence = 1;
- getStepSequence(int) - 接口 中的方法org.tensorflow.distruntime.GetStepSequenceResponseOrBuilder
-
repeated .tensorflow.StepSequence step_sequence = 1;
- getStepSequence(GetStepSequenceRequest) - 类 中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceBlockingStub
-
See worker.proto for details.
- getStepSequence(GetStepSequenceRequest) - 类 中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceFutureStub
-
See worker.proto for details.
- getStepSequence(GetStepSequenceRequest, StreamObserver<GetStepSequenceResponse>) - 类 中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceImplBase
-
See worker.proto for details.
- getStepSequence(GetStepSequenceRequest, StreamObserver<GetStepSequenceResponse>) - 类 中的方法org.tensorflow.distruntime.WorkerServiceGrpc.WorkerServiceStub
-
See worker.proto for details.
- getStepSequenceBuilder(int) - 类 中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder
-
repeated .tensorflow.StepSequence step_sequence = 1;
- getStepSequenceBuilderList() - 类 中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder
-
repeated .tensorflow.StepSequence step_sequence = 1;
- getStepSequenceCount() - 类 中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder
-
repeated .tensorflow.StepSequence step_sequence = 1;
- getStepSequenceCount() - 类 中的方法org.tensorflow.distruntime.GetStepSequenceResponse
-
repeated .tensorflow.StepSequence step_sequence = 1;
- getStepSequenceCount() - 接口 中的方法org.tensorflow.distruntime.GetStepSequenceResponseOrBuilder
-
repeated .tensorflow.StepSequence step_sequence = 1;
- getStepSequenceList() - 类 中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder
-
repeated .tensorflow.StepSequence step_sequence = 1;
- getStepSequenceList() - 类 中的方法org.tensorflow.distruntime.GetStepSequenceResponse
-
repeated .tensorflow.StepSequence step_sequence = 1;
- getStepSequenceList() - 接口 中的方法org.tensorflow.distruntime.GetStepSequenceResponseOrBuilder
-
repeated .tensorflow.StepSequence step_sequence = 1;
- getStepSequenceOrBuilder(int) - 类 中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder
-
repeated .tensorflow.StepSequence step_sequence = 1;
- getStepSequenceOrBuilder(int) - 类 中的方法org.tensorflow.distruntime.GetStepSequenceResponse
-
repeated .tensorflow.StepSequence step_sequence = 1;
- getStepSequenceOrBuilder(int) - 接口 中的方法org.tensorflow.distruntime.GetStepSequenceResponseOrBuilder
-
repeated .tensorflow.StepSequence step_sequence = 1;
- getStepSequenceOrBuilderList() - 类 中的方法org.tensorflow.distruntime.GetStepSequenceResponse.Builder
-
repeated .tensorflow.StepSequence step_sequence = 1;
- getStepSequenceOrBuilderList() - 类 中的方法org.tensorflow.distruntime.GetStepSequenceResponse
-
repeated .tensorflow.StepSequence step_sequence = 1;
- getStepSequenceOrBuilderList() - 接口 中的方法org.tensorflow.distruntime.GetStepSequenceResponseOrBuilder
-
repeated .tensorflow.StepSequence step_sequence = 1;
- GetStepSequenceRequest - org.tensorflow.distruntime中的类
-
Request for next agreed-upon step_id for the specified graph_keys.
- GetStepSequenceRequest.Builder - org.tensorflow.distruntime中的类
-
Request for next agreed-upon step_id for the specified graph_keys.
- GetStepSequenceRequestOrBuilder - org.tensorflow.distruntime中的接口
-
- GetStepSequenceResponse - org.tensorflow.distruntime中的类
-
Next valid step_ids for one or more graph_keys.
- GetStepSequenceResponse.Builder - org.tensorflow.distruntime中的类
-
Next valid step_ids for one or more graph_keys.
- GetStepSequenceResponseOrBuilder - org.tensorflow.distruntime中的接口
-
- getStepStats() - 类 中的方法org.tensorflow.distruntime.LabeledStepStats.Builder
-
.tensorflow.StepStats step_stats = 2;
- getStepStats() - 类 中的方法org.tensorflow.distruntime.LabeledStepStats
-
.tensorflow.StepStats step_stats = 2;
- getStepStats() - 接口 中的方法org.tensorflow.distruntime.LabeledStepStatsOrBuilder
-
.tensorflow.StepStats step_stats = 2;
- getStepStats() - 类 中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
-
If the request asked for execution stats, the cost graph, or the partition
graphs, these are returned here.
- getStepStats() - 类 中的方法org.tensorflow.distruntime.RunGraphResponse
-
If the request asked for execution stats, the cost graph, or the partition
graphs, these are returned here.
- getStepStats() - 接口 中的方法org.tensorflow.distruntime.RunGraphResponseOrBuilder
-
If the request asked for execution stats, the cost graph, or the partition
graphs, these are returned here.
- getStepStats() - 类 中的方法org.tensorflow.framework.RunMetadata.Builder
-
Statistics traced for this step.
- getStepStats() - 类 中的方法org.tensorflow.framework.RunMetadata
-
Statistics traced for this step.
- getStepStats() - 接口 中的方法org.tensorflow.framework.RunMetadataOrBuilder
-
Statistics traced for this step.
- getStepStatsBuilder() - 类 中的方法org.tensorflow.distruntime.LabeledStepStats.Builder
-
.tensorflow.StepStats step_stats = 2;
- getStepStatsBuilder() - 类 中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
-
If the request asked for execution stats, the cost graph, or the partition
graphs, these are returned here.
- getStepStatsBuilder() - 类 中的方法org.tensorflow.framework.RunMetadata.Builder
-
Statistics traced for this step.
- getStepStatsOrBuilder() - 类 中的方法org.tensorflow.distruntime.LabeledStepStats.Builder
-
.tensorflow.StepStats step_stats = 2;
- getStepStatsOrBuilder() - 类 中的方法org.tensorflow.distruntime.LabeledStepStats
-
.tensorflow.StepStats step_stats = 2;
- getStepStatsOrBuilder() - 接口 中的方法org.tensorflow.distruntime.LabeledStepStatsOrBuilder
-
.tensorflow.StepStats step_stats = 2;
- getStepStatsOrBuilder() - 类 中的方法org.tensorflow.distruntime.RunGraphResponse.Builder
-
If the request asked for execution stats, the cost graph, or the partition
graphs, these are returned here.
- getStepStatsOrBuilder() - 类 中的方法org.tensorflow.distruntime.RunGraphResponse
-
If the request asked for execution stats, the cost graph, or the partition
graphs, these are returned here.
- getStepStatsOrBuilder() - 接口 中的方法org.tensorflow.distruntime.RunGraphResponseOrBuilder
-
If the request asked for execution stats, the cost graph, or the partition
graphs, these are returned here.
- getStepStatsOrBuilder() - 类 中的方法org.tensorflow.framework.RunMetadata.Builder
-
Statistics traced for this step.
- getStepStatsOrBuilder() - 类 中的方法org.tensorflow.framework.RunMetadata
-
Statistics traced for this step.
- getStepStatsOrBuilder() - 接口 中的方法org.tensorflow.framework.RunMetadataOrBuilder
-
Statistics traced for this step.
- getStoreErrorsInResponseBody() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest.Builder
-
If true then some errors, e.g., execution errors that have long
error messages, may return an OK RunGraphResponse with the actual
error saved in the status_code/status_error_message fields of the
response body.
- getStoreErrorsInResponseBody() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest
-
If true then some errors, e.g., execution errors that have long
error messages, may return an OK RunGraphResponse with the actual
error saved in the status_code/status_error_message fields of the
response body.
- getStoreErrorsInResponseBody() - 接口 中的方法org.tensorflow.distruntime.RunGraphRequestOrBuilder
-
If true then some errors, e.g., execution errors that have long
error messages, may return an OK RunGraphResponse with the actual
error saved in the status_code/status_error_message fields of the
response body.
- getStoreErrorsInResponseBody() - 类 中的方法org.tensorflow.distruntime.RunStepRequest.Builder
-
If true then some errors, e.g., execution errors that have long
error messages, may return an OK RunStepResponse with the actual
error saved in the status_code/status_error_message fields of the
response body.
- getStoreErrorsInResponseBody() - 类 中的方法org.tensorflow.distruntime.RunStepRequest
-
If true then some errors, e.g., execution errors that have long
error messages, may return an OK RunStepResponse with the actual
error saved in the status_code/status_error_message fields of the
response body.
- getStoreErrorsInResponseBody() - 接口 中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder
-
If true then some errors, e.g., execution errors that have long
error messages, may return an OK RunStepResponse with the actual
error saved in the status_code/status_error_message fields of the
response body.
- getStrength() - 类 中的方法org.tensorflow.framework.InterconnectLink.Builder
-
int32 strength = 3;
- getStrength() - 类 中的方法org.tensorflow.framework.InterconnectLink
-
int32 strength = 3;
- getStrength() - 接口 中的方法org.tensorflow.framework.InterconnectLinkOrBuilder
-
int32 strength = 3;
- getStringVal(int) - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_STRING
repeated bytes string_val = 8;
- getStringVal(int) - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_STRING
repeated bytes string_val = 8;
- getStringVal(int) - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_STRING
repeated bytes string_val = 8;
- getStringValCount() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_STRING
repeated bytes string_val = 8;
- getStringValCount() - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_STRING
repeated bytes string_val = 8;
- getStringValCount() - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_STRING
repeated bytes string_val = 8;
- getStringValList() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_STRING
repeated bytes string_val = 8;
- getStringValList() - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_STRING
repeated bytes string_val = 8;
- getStringValList() - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_STRING
repeated bytes string_val = 8;
- getStrippedDefaultAttrs() - 类 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
A flag to denote whether default-valued attrs have been stripped from
the nodes in this graph_def.
- getStrippedDefaultAttrs() - 类 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
A flag to denote whether default-valued attrs have been stripped from
the nodes in this graph_def.
- getStrippedDefaultAttrs() - 接口 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder
-
A flag to denote whether default-valued attrs have been stripped from
the nodes in this graph_def.
- getStrippedOpList() - 类 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
A copy of the OpDefs used by the producer of this graph_def.
- getStrippedOpList() - 类 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
A copy of the OpDefs used by the producer of this graph_def.
- getStrippedOpList() - 接口 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder
-
A copy of the OpDefs used by the producer of this graph_def.
- getStrippedOpListBuilder() - 类 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
A copy of the OpDefs used by the producer of this graph_def.
- getStrippedOpListOrBuilder() - 类 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
A copy of the OpDefs used by the producer of this graph_def.
- getStrippedOpListOrBuilder() - 类 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
A copy of the OpDefs used by the producer of this graph_def.
- getStrippedOpListOrBuilder() - 接口 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder
-
A copy of the OpDefs used by the producer of this graph_def.
- getSubdivOffset(int) - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
repeated int32 subdiv_offset = 9;
- getSubdivOffset(int) - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest
-
repeated int32 subdiv_offset = 9;
- getSubdivOffset(int) - 接口 中的方法org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder
-
repeated int32 subdiv_offset = 9;
- getSubdivOffsetCount() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
repeated int32 subdiv_offset = 9;
- getSubdivOffsetCount() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest
-
repeated int32 subdiv_offset = 9;
- getSubdivOffsetCount() - 接口 中的方法org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder
-
repeated int32 subdiv_offset = 9;
- getSubdivOffsetList() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
repeated int32 subdiv_offset = 9;
- getSubdivOffsetList() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest
-
repeated int32 subdiv_offset = 9;
- getSubdivOffsetList() - 接口 中的方法org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder
-
repeated int32 subdiv_offset = 9;
- getSum() - 类 中的方法org.tensorflow.framework.HistogramProto.Builder
-
double sum = 4;
- getSum() - 类 中的方法org.tensorflow.framework.HistogramProto
-
double sum = 4;
- getSum() - 接口 中的方法org.tensorflow.framework.HistogramProtoOrBuilder
-
double sum = 4;
- getSummary() - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
One-line human-readable description of what the Op does.
- getSummary() - 类 中的方法org.tensorflow.framework.ApiDef
-
One-line human-readable description of what the Op does.
- getSummary() - 接口 中的方法org.tensorflow.framework.ApiDefOrBuilder
-
One-line human-readable description of what the Op does.
- getSummary() - 类 中的方法org.tensorflow.framework.OpDef.Builder
-
One-line human-readable description of what the Op does.
- getSummary() - 类 中的方法org.tensorflow.framework.OpDef
-
One-line human-readable description of what the Op does.
- getSummary() - 接口 中的方法org.tensorflow.framework.OpDefOrBuilder
-
One-line human-readable description of what the Op does.
- getSummaryBytes() - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
One-line human-readable description of what the Op does.
- getSummaryBytes() - 类 中的方法org.tensorflow.framework.ApiDef
-
One-line human-readable description of what the Op does.
- getSummaryBytes() - 接口 中的方法org.tensorflow.framework.ApiDefOrBuilder
-
One-line human-readable description of what the Op does.
- getSummaryBytes() - 类 中的方法org.tensorflow.framework.OpDef.Builder
-
One-line human-readable description of what the Op does.
- getSummaryBytes() - 类 中的方法org.tensorflow.framework.OpDef
-
One-line human-readable description of what the Op does.
- getSummaryBytes() - 接口 中的方法org.tensorflow.framework.OpDefOrBuilder
-
One-line human-readable description of what the Op does.
- getSummaryDescription() - 类 中的方法org.tensorflow.framework.SummaryMetadata.Builder
-
Longform readable description of the summary sequence.
- getSummaryDescription() - 类 中的方法org.tensorflow.framework.SummaryMetadata
-
Longform readable description of the summary sequence.
- getSummaryDescription() - 接口 中的方法org.tensorflow.framework.SummaryMetadataOrBuilder
-
Longform readable description of the summary sequence.
- getSummaryDescriptionBytes() - 类 中的方法org.tensorflow.framework.SummaryMetadata.Builder
-
Longform readable description of the summary sequence.
- getSummaryDescriptionBytes() - 类 中的方法org.tensorflow.framework.SummaryMetadata
-
Longform readable description of the summary sequence.
- getSummaryDescriptionBytes() - 接口 中的方法org.tensorflow.framework.SummaryMetadataOrBuilder
-
Longform readable description of the summary sequence.
- getSumSquares() - 类 中的方法org.tensorflow.framework.HistogramProto.Builder
-
double sum_squares = 5;
- getSumSquares() - 类 中的方法org.tensorflow.framework.HistogramProto
-
double sum_squares = 5;
- getSumSquares() - 接口 中的方法org.tensorflow.framework.HistogramProtoOrBuilder
-
double sum_squares = 5;
- getSwapMemory() - 类 中的方法org.tensorflow.framework.WhileContextDef.Builder
-
Whether GPU-CPU memory swap is enabled for this loop.
- getSwapMemory() - 类 中的方法org.tensorflow.framework.WhileContextDef
-
Whether GPU-CPU memory swap is enabled for this loop.
- getSwapMemory() - 接口 中的方法org.tensorflow.framework.WhileContextDefOrBuilder
-
Whether GPU-CPU memory swap is enabled for this loop.
- getTag() - 类 中的方法org.tensorflow.framework.Summary.Value.Builder
-
Tag name for the data.
- getTag() - 类 中的方法org.tensorflow.framework.Summary.Value
-
Tag name for the data.
- getTag() - 接口 中的方法org.tensorflow.framework.Summary.ValueOrBuilder
-
Tag name for the data.
- getTagBytes() - 类 中的方法org.tensorflow.framework.Summary.Value.Builder
-
Tag name for the data.
- getTagBytes() - 类 中的方法org.tensorflow.framework.Summary.Value
-
Tag name for the data.
- getTagBytes() - 接口 中的方法org.tensorflow.framework.Summary.ValueOrBuilder
-
Tag name for the data.
- getTags(int) - 类 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
User supplied tag(s) on the meta_graph and included graph_def.
- getTags(int) - 类 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
User supplied tag(s) on the meta_graph and included graph_def.
- getTags(int) - 接口 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder
-
User supplied tag(s) on the meta_graph and included graph_def.
- getTagsBytes(int) - 类 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
User supplied tag(s) on the meta_graph and included graph_def.
- getTagsBytes(int) - 类 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
User supplied tag(s) on the meta_graph and included graph_def.
- getTagsBytes(int) - 接口 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder
-
User supplied tag(s) on the meta_graph and included graph_def.
- getTagsCount() - 类 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
User supplied tag(s) on the meta_graph and included graph_def.
- getTagsCount() - 类 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
User supplied tag(s) on the meta_graph and included graph_def.
- getTagsCount() - 接口 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder
-
User supplied tag(s) on the meta_graph and included graph_def.
- getTagsList() - 类 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
User supplied tag(s) on the meta_graph and included graph_def.
- getTagsList() - 类 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
User supplied tag(s) on the meta_graph and included graph_def.
- getTagsList() - 接口 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder
-
User supplied tag(s) on the meta_graph and included graph_def.
- getTarget() - 类 中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder
-
The target string used from the client's perspective.
- getTarget() - 类 中的方法org.tensorflow.distruntime.CreateSessionRequest
-
The target string used from the client's perspective.
- getTarget() - 接口 中的方法org.tensorflow.distruntime.CreateSessionRequestOrBuilder
-
The target string used from the client's perspective.
- getTarget(int) - 类 中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
Target Nodes.
- getTarget(int) - 类 中的方法org.tensorflow.distruntime.PartialRunSetupRequest
-
Target Nodes.
- getTarget(int) - 接口 中的方法org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder
-
Target Nodes.
- getTarget(int) - 类 中的方法org.tensorflow.distruntime.RunStepRequest.Builder
-
Target Nodes.
- getTarget(int) - 类 中的方法org.tensorflow.distruntime.RunStepRequest
-
Target Nodes.
- getTarget(int) - 接口 中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder
-
Target Nodes.
- getTarget(int) - 类 中的方法org.tensorflow.framework.CallableOptions.Builder
-
Target Nodes.
- getTarget(int) - 类 中的方法org.tensorflow.framework.CallableOptions
-
Target Nodes.
- getTarget(int) - 接口 中的方法org.tensorflow.framework.CallableOptionsOrBuilder
-
Target Nodes.
- getTarget(int) - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
-
Target Nodes.
- getTarget(int) - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
-
Target Nodes.
- getTarget(int) - 接口 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequestOrBuilder
-
Target Nodes.
- getTargetBytes() - 类 中的方法org.tensorflow.distruntime.CreateSessionRequest.Builder
-
The target string used from the client's perspective.
- getTargetBytes() - 类 中的方法org.tensorflow.distruntime.CreateSessionRequest
-
The target string used from the client's perspective.
- getTargetBytes() - 接口 中的方法org.tensorflow.distruntime.CreateSessionRequestOrBuilder
-
The target string used from the client's perspective.
- getTargetBytes(int) - 类 中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
Target Nodes.
- getTargetBytes(int) - 类 中的方法org.tensorflow.distruntime.PartialRunSetupRequest
-
Target Nodes.
- getTargetBytes(int) - 接口 中的方法org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder
-
Target Nodes.
- getTargetBytes(int) - 类 中的方法org.tensorflow.distruntime.RunStepRequest.Builder
-
Target Nodes.
- getTargetBytes(int) - 类 中的方法org.tensorflow.distruntime.RunStepRequest
-
Target Nodes.
- getTargetBytes(int) - 接口 中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder
-
Target Nodes.
- getTargetBytes(int) - 类 中的方法org.tensorflow.framework.CallableOptions.Builder
-
Target Nodes.
- getTargetBytes(int) - 类 中的方法org.tensorflow.framework.CallableOptions
-
Target Nodes.
- getTargetBytes(int) - 接口 中的方法org.tensorflow.framework.CallableOptionsOrBuilder
-
Target Nodes.
- getTargetBytes(int) - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
-
Target Nodes.
- getTargetBytes(int) - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
-
Target Nodes.
- getTargetBytes(int) - 接口 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequestOrBuilder
-
Target Nodes.
- getTargetCount() - 类 中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
Target Nodes.
- getTargetCount() - 类 中的方法org.tensorflow.distruntime.PartialRunSetupRequest
-
Target Nodes.
- getTargetCount() - 接口 中的方法org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder
-
Target Nodes.
- getTargetCount() - 类 中的方法org.tensorflow.distruntime.RunStepRequest.Builder
-
Target Nodes.
- getTargetCount() - 类 中的方法org.tensorflow.distruntime.RunStepRequest
-
Target Nodes.
- getTargetCount() - 接口 中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder
-
Target Nodes.
- getTargetCount() - 类 中的方法org.tensorflow.framework.CallableOptions.Builder
-
Target Nodes.
- getTargetCount() - 类 中的方法org.tensorflow.framework.CallableOptions
-
Target Nodes.
- getTargetCount() - 接口 中的方法org.tensorflow.framework.CallableOptionsOrBuilder
-
Target Nodes.
- getTargetCount() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
-
Target Nodes.
- getTargetCount() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
-
Target Nodes.
- getTargetCount() - 接口 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequestOrBuilder
-
Target Nodes.
- getTargetList() - 类 中的方法org.tensorflow.distruntime.PartialRunSetupRequest.Builder
-
Target Nodes.
- getTargetList() - 类 中的方法org.tensorflow.distruntime.PartialRunSetupRequest
-
Target Nodes.
- getTargetList() - 接口 中的方法org.tensorflow.distruntime.PartialRunSetupRequestOrBuilder
-
Target Nodes.
- getTargetList() - 类 中的方法org.tensorflow.distruntime.RunStepRequest.Builder
-
Target Nodes.
- getTargetList() - 类 中的方法org.tensorflow.distruntime.RunStepRequest
-
Target Nodes.
- getTargetList() - 接口 中的方法org.tensorflow.distruntime.RunStepRequestOrBuilder
-
Target Nodes.
- getTargetList() - 类 中的方法org.tensorflow.framework.CallableOptions.Builder
-
Target Nodes.
- getTargetList() - 类 中的方法org.tensorflow.framework.CallableOptions
-
Target Nodes.
- getTargetList() - 接口 中的方法org.tensorflow.framework.CallableOptionsOrBuilder
-
Target Nodes.
- getTargetList() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest.Builder
-
Target Nodes.
- getTargetList() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
-
Target Nodes.
- getTargetList() - 接口 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequestOrBuilder
-
Target Nodes.
- getTaskIndex() - 类 中的方法org.tensorflow.distruntime.ServerDef.Builder
-
The task index of this server in its job.
- getTaskIndex() - 类 中的方法org.tensorflow.distruntime.ServerDef
-
The task index of this server in its job.
- getTaskIndex() - 接口 中的方法org.tensorflow.distruntime.ServerDefOrBuilder
-
The task index of this server in its job.
- getTaskName(int) - 类 中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
task name prefixes of device_names
repeated string task_name = 6;
- getTaskName(int) - 类 中的方法org.tensorflow.distruntime.CompleteGroupResponse
-
task name prefixes of device_names
repeated string task_name = 6;
- getTaskName(int) - 接口 中的方法org.tensorflow.distruntime.CompleteGroupResponseOrBuilder
-
task name prefixes of device_names
repeated string task_name = 6;
- getTaskNameBytes(int) - 类 中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
task name prefixes of device_names
repeated string task_name = 6;
- getTaskNameBytes(int) - 类 中的方法org.tensorflow.distruntime.CompleteGroupResponse
-
task name prefixes of device_names
repeated string task_name = 6;
- getTaskNameBytes(int) - 接口 中的方法org.tensorflow.distruntime.CompleteGroupResponseOrBuilder
-
task name prefixes of device_names
repeated string task_name = 6;
- getTaskNameCount() - 类 中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
task name prefixes of device_names
repeated string task_name = 6;
- getTaskNameCount() - 类 中的方法org.tensorflow.distruntime.CompleteGroupResponse
-
task name prefixes of device_names
repeated string task_name = 6;
- getTaskNameCount() - 接口 中的方法org.tensorflow.distruntime.CompleteGroupResponseOrBuilder
-
task name prefixes of device_names
repeated string task_name = 6;
- getTaskNameList() - 类 中的方法org.tensorflow.distruntime.CompleteGroupResponse.Builder
-
task name prefixes of device_names
repeated string task_name = 6;
- getTaskNameList() - 类 中的方法org.tensorflow.distruntime.CompleteGroupResponse
-
task name prefixes of device_names
repeated string task_name = 6;
- getTaskNameList() - 接口 中的方法org.tensorflow.distruntime.CompleteGroupResponseOrBuilder
-
task name prefixes of device_names
repeated string task_name = 6;
- getTasks() - 类 中的方法org.tensorflow.distruntime.JobDef.Builder
-
已过时。
- getTasks() - 类 中的方法org.tensorflow.distruntime.JobDef
-
已过时。
- getTasks() - 接口 中的方法org.tensorflow.distruntime.JobDefOrBuilder
-
已过时。
- getTasks(int) - 类 中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder
-
Inference tasks.
- getTasks(int) - 类 中的方法tensorflow.serving.Inference.MultiInferenceRequest
-
Inference tasks.
- getTasks(int) - 接口 中的方法tensorflow.serving.Inference.MultiInferenceRequestOrBuilder
-
Inference tasks.
- getTasksBuilder(int) - 类 中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder
-
Inference tasks.
- getTasksBuilderList() - 类 中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder
-
Inference tasks.
- getTasksCount() - 类 中的方法org.tensorflow.distruntime.JobDef.Builder
-
- getTasksCount() - 类 中的方法org.tensorflow.distruntime.JobDef
-
- getTasksCount() - 接口 中的方法org.tensorflow.distruntime.JobDefOrBuilder
-
Mapping from task ID to "hostname:port" string.
- getTasksCount() - 类 中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder
-
Inference tasks.
- getTasksCount() - 类 中的方法tensorflow.serving.Inference.MultiInferenceRequest
-
Inference tasks.
- getTasksCount() - 接口 中的方法tensorflow.serving.Inference.MultiInferenceRequestOrBuilder
-
Inference tasks.
- getTasksList() - 类 中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder
-
Inference tasks.
- getTasksList() - 类 中的方法tensorflow.serving.Inference.MultiInferenceRequest
-
Inference tasks.
- getTasksList() - 接口 中的方法tensorflow.serving.Inference.MultiInferenceRequestOrBuilder
-
Inference tasks.
- getTasksMap() - 类 中的方法org.tensorflow.distruntime.JobDef.Builder
-
Mapping from task ID to "hostname:port" string.
- getTasksMap() - 类 中的方法org.tensorflow.distruntime.JobDef
-
Mapping from task ID to "hostname:port" string.
- getTasksMap() - 接口 中的方法org.tensorflow.distruntime.JobDefOrBuilder
-
Mapping from task ID to "hostname:port" string.
- getTasksOrBuilder(int) - 类 中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder
-
Inference tasks.
- getTasksOrBuilder(int) - 类 中的方法tensorflow.serving.Inference.MultiInferenceRequest
-
Inference tasks.
- getTasksOrBuilder(int) - 接口 中的方法tensorflow.serving.Inference.MultiInferenceRequestOrBuilder
-
Inference tasks.
- getTasksOrBuilderList() - 类 中的方法tensorflow.serving.Inference.MultiInferenceRequest.Builder
-
Inference tasks.
- getTasksOrBuilderList() - 类 中的方法tensorflow.serving.Inference.MultiInferenceRequest
-
Inference tasks.
- getTasksOrBuilderList() - 接口 中的方法tensorflow.serving.Inference.MultiInferenceRequestOrBuilder
-
Inference tasks.
- getTasksOrDefault(int, String) - 类 中的方法org.tensorflow.distruntime.JobDef.Builder
-
Mapping from task ID to "hostname:port" string.
- getTasksOrDefault(int, String) - 类 中的方法org.tensorflow.distruntime.JobDef
-
Mapping from task ID to "hostname:port" string.
- getTasksOrDefault(int, String) - 接口 中的方法org.tensorflow.distruntime.JobDefOrBuilder
-
Mapping from task ID to "hostname:port" string.
- getTasksOrThrow(int) - 类 中的方法org.tensorflow.distruntime.JobDef.Builder
-
Mapping from task ID to "hostname:port" string.
- getTasksOrThrow(int) - 类 中的方法org.tensorflow.distruntime.JobDef
-
Mapping from task ID to "hostname:port" string.
- getTasksOrThrow(int) - 接口 中的方法org.tensorflow.distruntime.JobDefOrBuilder
-
Mapping from task ID to "hostname:port" string.
- getTempMemorySize() - 类 中的方法org.tensorflow.framework.MemoryStats.Builder
-
int64 temp_memory_size = 1;
- getTempMemorySize() - 类 中的方法org.tensorflow.framework.MemoryStats
-
int64 temp_memory_size = 1;
- getTempMemorySize() - 接口 中的方法org.tensorflow.framework.MemoryStatsOrBuilder
-
int64 temp_memory_size = 1;
- getTemporaryMemorySize() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.Builder
-
Temporary memory used by this node.
- getTemporaryMemorySize() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node
-
Temporary memory used by this node.
- getTemporaryMemorySize() - 接口 中的方法org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
Temporary memory used by this node.
- getTensor() - 类 中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder
-
The tensor as a proto.
- getTensor() - 类 中的方法org.tensorflow.distruntime.RecvTensorResponse
-
The tensor as a proto.
- getTensor() - 接口 中的方法org.tensorflow.distruntime.RecvTensorResponseOrBuilder
-
The tensor as a proto.
- getTensor(int) - 类 中的方法org.tensorflow.distruntime.RunStepResponse.Builder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunStepRequest.
- getTensor(int) - 类 中的方法org.tensorflow.distruntime.RunStepResponse
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunStepRequest.
- getTensor(int) - 接口 中的方法org.tensorflow.distruntime.RunStepResponseOrBuilder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunStepRequest.
- getTensor() - 类 中的方法org.tensorflow.framework.AttrValue.Builder
-
"tensor"
.tensorflow.TensorProto tensor = 8;
- getTensor() - 类 中的方法org.tensorflow.framework.AttrValue
-
"tensor"
.tensorflow.TensorProto tensor = 8;
- getTensor(int) - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(tensor)"
repeated .tensorflow.TensorProto tensor = 8;
- getTensor(int) - 类 中的方法org.tensorflow.framework.AttrValue.ListValue
-
"list(tensor)"
repeated .tensorflow.TensorProto tensor = 8;
- getTensor(int) - 接口 中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(tensor)"
repeated .tensorflow.TensorProto tensor = 8;
- getTensor() - 接口 中的方法org.tensorflow.framework.AttrValueOrBuilder
-
"tensor"
.tensorflow.TensorProto tensor = 8;
- getTensor() - 类 中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
Allocated tensor details.
- getTensor() - 类 中的方法org.tensorflow.framework.MemoryLogTensorAllocation
-
Allocated tensor details.
- getTensor() - 接口 中的方法org.tensorflow.framework.MemoryLogTensorAllocationOrBuilder
-
Allocated tensor details.
- getTensor() - 类 中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Output tensor details.
- getTensor() - 类 中的方法org.tensorflow.framework.MemoryLogTensorOutput
-
Output tensor details.
- getTensor() - 接口 中的方法org.tensorflow.framework.MemoryLogTensorOutputOrBuilder
-
Output tensor details.
- getTensor() - 类 中的方法org.tensorflow.framework.NamedTensorProto.Builder
-
The client can populate a TensorProto using a tensorflow::Tensor`, or
directly using the protobuf field accessors.
- getTensor() - 类 中的方法org.tensorflow.framework.NamedTensorProto
-
The client can populate a TensorProto using a tensorflow::Tensor`, or
directly using the protobuf field accessors.
- getTensor() - 接口 中的方法org.tensorflow.framework.NamedTensorProtoOrBuilder
-
The client can populate a TensorProto using a tensorflow::Tensor`, or
directly using the protobuf field accessors.
- getTensor() - 类 中的方法org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.TensorProto tensor = 8;
- getTensor() - 类 中的方法org.tensorflow.framework.Summary.Value
-
.tensorflow.TensorProto tensor = 8;
- getTensor() - 接口 中的方法org.tensorflow.framework.Summary.ValueOrBuilder
-
.tensorflow.TensorProto tensor = 8;
- getTensor(int) - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunRequest.
- getTensor(int) - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunRequest.
- getTensor(int) - 接口 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponseOrBuilder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunRequest.
- getTensorBuilder() - 类 中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder
-
The tensor as a proto.
- getTensorBuilder(int) - 类 中的方法org.tensorflow.distruntime.RunStepResponse.Builder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunStepRequest.
- getTensorBuilder() - 类 中的方法org.tensorflow.framework.AttrValue.Builder
-
"tensor"
.tensorflow.TensorProto tensor = 8;
- getTensorBuilder(int) - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(tensor)"
repeated .tensorflow.TensorProto tensor = 8;
- getTensorBuilder() - 类 中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
Allocated tensor details.
- getTensorBuilder() - 类 中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Output tensor details.
- getTensorBuilder() - 类 中的方法org.tensorflow.framework.NamedTensorProto.Builder
-
The client can populate a TensorProto using a tensorflow::Tensor`, or
directly using the protobuf field accessors.
- getTensorBuilder() - 类 中的方法org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.TensorProto tensor = 8;
- getTensorBuilder(int) - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunRequest.
- getTensorBuilderList() - 类 中的方法org.tensorflow.distruntime.RunStepResponse.Builder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunStepRequest.
- getTensorBuilderList() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(tensor)"
repeated .tensorflow.TensorProto tensor = 8;
- getTensorBuilderList() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunRequest.
- getTensorConnection(int) - 类 中的方法org.tensorflow.framework.CallableOptions.Builder
-
Tensors to be connected in the callable.
- getTensorConnection(int) - 类 中的方法org.tensorflow.framework.CallableOptions
-
Tensors to be connected in the callable.
- getTensorConnection(int) - 接口 中的方法org.tensorflow.framework.CallableOptionsOrBuilder
-
Tensors to be connected in the callable.
- getTensorConnectionBuilder(int) - 类 中的方法org.tensorflow.framework.CallableOptions.Builder
-
Tensors to be connected in the callable.
- getTensorConnectionBuilderList() - 类 中的方法org.tensorflow.framework.CallableOptions.Builder
-
Tensors to be connected in the callable.
- getTensorConnectionCount() - 类 中的方法org.tensorflow.framework.CallableOptions.Builder
-
Tensors to be connected in the callable.
- getTensorConnectionCount() - 类 中的方法org.tensorflow.framework.CallableOptions
-
Tensors to be connected in the callable.
- getTensorConnectionCount() - 接口 中的方法org.tensorflow.framework.CallableOptionsOrBuilder
-
Tensors to be connected in the callable.
- getTensorConnectionList() - 类 中的方法org.tensorflow.framework.CallableOptions.Builder
-
Tensors to be connected in the callable.
- getTensorConnectionList() - 类 中的方法org.tensorflow.framework.CallableOptions
-
Tensors to be connected in the callable.
- getTensorConnectionList() - 接口 中的方法org.tensorflow.framework.CallableOptionsOrBuilder
-
Tensors to be connected in the callable.
- getTensorConnectionOrBuilder(int) - 类 中的方法org.tensorflow.framework.CallableOptions.Builder
-
Tensors to be connected in the callable.
- getTensorConnectionOrBuilder(int) - 类 中的方法org.tensorflow.framework.CallableOptions
-
Tensors to be connected in the callable.
- getTensorConnectionOrBuilder(int) - 接口 中的方法org.tensorflow.framework.CallableOptionsOrBuilder
-
Tensors to be connected in the callable.
- getTensorConnectionOrBuilderList() - 类 中的方法org.tensorflow.framework.CallableOptions.Builder
-
Tensors to be connected in the callable.
- getTensorConnectionOrBuilderList() - 类 中的方法org.tensorflow.framework.CallableOptions
-
Tensors to be connected in the callable.
- getTensorConnectionOrBuilderList() - 接口 中的方法org.tensorflow.framework.CallableOptionsOrBuilder
-
Tensors to be connected in the callable.
- getTensorContent() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
Serialized raw tensor content from either Tensor::AsProtoTensorContent or
memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
- getTensorContent() - 类 中的方法org.tensorflow.framework.TensorProto
-
Serialized raw tensor content from either Tensor::AsProtoTensorContent or
memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
- getTensorContent() - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
Serialized raw tensor content from either Tensor::AsProtoTensorContent or
memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
- getTensorContent() - 类 中的方法tensorflow.TransportOptions.RecvBufRespExtra.Builder
-
bytes tensor_content = 1;
- getTensorContent() - 类 中的方法tensorflow.TransportOptions.RecvBufRespExtra
-
bytes tensor_content = 1;
- getTensorContent() - 接口 中的方法tensorflow.TransportOptions.RecvBufRespExtraOrBuilder
-
bytes tensor_content = 1;
- getTensorCount() - 类 中的方法org.tensorflow.distruntime.RunStepResponse.Builder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunStepRequest.
- getTensorCount() - 类 中的方法org.tensorflow.distruntime.RunStepResponse
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunStepRequest.
- getTensorCount() - 接口 中的方法org.tensorflow.distruntime.RunStepResponseOrBuilder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunStepRequest.
- getTensorCount() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(tensor)"
repeated .tensorflow.TensorProto tensor = 8;
- getTensorCount() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue
-
"list(tensor)"
repeated .tensorflow.TensorProto tensor = 8;
- getTensorCount() - 接口 中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(tensor)"
repeated .tensorflow.TensorProto tensor = 8;
- getTensorCount() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunRequest.
- getTensorCount() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunRequest.
- getTensorCount() - 接口 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponseOrBuilder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunRequest.
- getTensorDescription() - 类 中的方法org.tensorflow.framework.NodeOutput.Builder
-
.tensorflow.TensorDescription tensor_description = 3;
- getTensorDescription() - 类 中的方法org.tensorflow.framework.NodeOutput
-
.tensorflow.TensorDescription tensor_description = 3;
- getTensorDescription() - 接口 中的方法org.tensorflow.framework.NodeOutputOrBuilder
-
.tensorflow.TensorDescription tensor_description = 3;
- getTensorDescriptionBuilder() - 类 中的方法org.tensorflow.framework.NodeOutput.Builder
-
.tensorflow.TensorDescription tensor_description = 3;
- getTensorDescriptionOrBuilder() - 类 中的方法org.tensorflow.framework.NodeOutput.Builder
-
.tensorflow.TensorDescription tensor_description = 3;
- getTensorDescriptionOrBuilder() - 类 中的方法org.tensorflow.framework.NodeOutput
-
.tensorflow.TensorDescription tensor_description = 3;
- getTensorDescriptionOrBuilder() - 接口 中的方法org.tensorflow.framework.NodeOutputOrBuilder
-
.tensorflow.TensorDescription tensor_description = 3;
- getTensorflowGitVersion() - 类 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
The __git_version__ string of the tensorflow build used to write this
graph.
- getTensorflowGitVersion() - 类 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
The __git_version__ string of the tensorflow build used to write this
graph.
- getTensorflowGitVersion() - 接口 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder
-
The __git_version__ string of the tensorflow build used to write this
graph.
- getTensorflowGitVersionBytes() - 类 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
The __git_version__ string of the tensorflow build used to write this
graph.
- getTensorflowGitVersionBytes() - 类 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
The __git_version__ string of the tensorflow build used to write this
graph.
- getTensorflowGitVersionBytes() - 接口 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder
-
The __git_version__ string of the tensorflow build used to write this
graph.
- getTensorflowVersion() - 类 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
The __version__ string of the tensorflow build used to write this graph.
- getTensorflowVersion() - 类 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
The __version__ string of the tensorflow build used to write this graph.
- getTensorflowVersion() - 接口 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder
-
The __version__ string of the tensorflow build used to write this graph.
- getTensorflowVersionBytes() - 类 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
-
The __version__ string of the tensorflow build used to write this graph.
- getTensorflowVersionBytes() - 类 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
The __version__ string of the tensorflow build used to write this graph.
- getTensorflowVersionBytes() - 接口 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDefOrBuilder
-
The __version__ string of the tensorflow build used to write this graph.
- getTensorInfo() - 类 中的方法org.tensorflow.framework.AssetFileDef.Builder
-
The tensor to bind the asset filename to.
- getTensorInfo() - 类 中的方法org.tensorflow.framework.AssetFileDef
-
The tensor to bind the asset filename to.
- getTensorInfo() - 接口 中的方法org.tensorflow.framework.AssetFileDefOrBuilder
-
The tensor to bind the asset filename to.
- getTensorInfoBuilder() - 类 中的方法org.tensorflow.framework.AssetFileDef.Builder
-
The tensor to bind the asset filename to.
- getTensorInfoOrBuilder() - 类 中的方法org.tensorflow.framework.AssetFileDef.Builder
-
The tensor to bind the asset filename to.
- getTensorInfoOrBuilder() - 类 中的方法org.tensorflow.framework.AssetFileDef
-
The tensor to bind the asset filename to.
- getTensorInfoOrBuilder() - 接口 中的方法org.tensorflow.framework.AssetFileDefOrBuilder
-
The tensor to bind the asset filename to.
- getTensorList() - 类 中的方法org.tensorflow.distruntime.RunStepResponse.Builder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunStepRequest.
- getTensorList() - 类 中的方法org.tensorflow.distruntime.RunStepResponse
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunStepRequest.
- getTensorList() - 接口 中的方法org.tensorflow.distruntime.RunStepResponseOrBuilder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunStepRequest.
- getTensorList() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(tensor)"
repeated .tensorflow.TensorProto tensor = 8;
- getTensorList() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue
-
"list(tensor)"
repeated .tensorflow.TensorProto tensor = 8;
- getTensorList() - 接口 中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(tensor)"
repeated .tensorflow.TensorProto tensor = 8;
- getTensorList() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunRequest.
- getTensorList() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunRequest.
- getTensorList() - 接口 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponseOrBuilder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunRequest.
- getTensorOrBuilder() - 类 中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder
-
The tensor as a proto.
- getTensorOrBuilder() - 类 中的方法org.tensorflow.distruntime.RecvTensorResponse
-
The tensor as a proto.
- getTensorOrBuilder() - 接口 中的方法org.tensorflow.distruntime.RecvTensorResponseOrBuilder
-
The tensor as a proto.
- getTensorOrBuilder(int) - 类 中的方法org.tensorflow.distruntime.RunStepResponse.Builder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunStepRequest.
- getTensorOrBuilder(int) - 类 中的方法org.tensorflow.distruntime.RunStepResponse
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunStepRequest.
- getTensorOrBuilder(int) - 接口 中的方法org.tensorflow.distruntime.RunStepResponseOrBuilder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunStepRequest.
- getTensorOrBuilder() - 类 中的方法org.tensorflow.framework.AttrValue.Builder
-
"tensor"
.tensorflow.TensorProto tensor = 8;
- getTensorOrBuilder() - 类 中的方法org.tensorflow.framework.AttrValue
-
"tensor"
.tensorflow.TensorProto tensor = 8;
- getTensorOrBuilder(int) - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(tensor)"
repeated .tensorflow.TensorProto tensor = 8;
- getTensorOrBuilder(int) - 类 中的方法org.tensorflow.framework.AttrValue.ListValue
-
"list(tensor)"
repeated .tensorflow.TensorProto tensor = 8;
- getTensorOrBuilder(int) - 接口 中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(tensor)"
repeated .tensorflow.TensorProto tensor = 8;
- getTensorOrBuilder() - 接口 中的方法org.tensorflow.framework.AttrValueOrBuilder
-
"tensor"
.tensorflow.TensorProto tensor = 8;
- getTensorOrBuilder() - 类 中的方法org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
Allocated tensor details.
- getTensorOrBuilder() - 类 中的方法org.tensorflow.framework.MemoryLogTensorAllocation
-
Allocated tensor details.
- getTensorOrBuilder() - 接口 中的方法org.tensorflow.framework.MemoryLogTensorAllocationOrBuilder
-
Allocated tensor details.
- getTensorOrBuilder() - 类 中的方法org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Output tensor details.
- getTensorOrBuilder() - 类 中的方法org.tensorflow.framework.MemoryLogTensorOutput
-
Output tensor details.
- getTensorOrBuilder() - 接口 中的方法org.tensorflow.framework.MemoryLogTensorOutputOrBuilder
-
Output tensor details.
- getTensorOrBuilder() - 类 中的方法org.tensorflow.framework.NamedTensorProto.Builder
-
The client can populate a TensorProto using a tensorflow::Tensor`, or
directly using the protobuf field accessors.
- getTensorOrBuilder() - 类 中的方法org.tensorflow.framework.NamedTensorProto
-
The client can populate a TensorProto using a tensorflow::Tensor`, or
directly using the protobuf field accessors.
- getTensorOrBuilder() - 接口 中的方法org.tensorflow.framework.NamedTensorProtoOrBuilder
-
The client can populate a TensorProto using a tensorflow::Tensor`, or
directly using the protobuf field accessors.
- getTensorOrBuilder() - 类 中的方法org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.TensorProto tensor = 8;
- getTensorOrBuilder() - 类 中的方法org.tensorflow.framework.Summary.Value
-
.tensorflow.TensorProto tensor = 8;
- getTensorOrBuilder() - 接口 中的方法org.tensorflow.framework.Summary.ValueOrBuilder
-
.tensorflow.TensorProto tensor = 8;
- getTensorOrBuilder(int) - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunRequest.
- getTensorOrBuilder(int) - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunRequest.
- getTensorOrBuilder(int) - 接口 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponseOrBuilder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunRequest.
- getTensorOrBuilderList() - 类 中的方法org.tensorflow.distruntime.RunStepResponse.Builder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunStepRequest.
- getTensorOrBuilderList() - 类 中的方法org.tensorflow.distruntime.RunStepResponse
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunStepRequest.
- getTensorOrBuilderList() - 接口 中的方法org.tensorflow.distruntime.RunStepResponseOrBuilder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunStepRequest.
- getTensorOrBuilderList() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(tensor)"
repeated .tensorflow.TensorProto tensor = 8;
- getTensorOrBuilderList() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue
-
"list(tensor)"
repeated .tensorflow.TensorProto tensor = 8;
- getTensorOrBuilderList() - 接口 中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(tensor)"
repeated .tensorflow.TensorProto tensor = 8;
- getTensorOrBuilderList() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse.Builder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunRequest.
- getTensorOrBuilderList() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunRequest.
- getTensorOrBuilderList() - 接口 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponseOrBuilder
-
NOTE: The order of the returned tensors may or may not match
the fetch order specified in RunRequest.
- getTensors(int) - 类 中的方法org.tensorflow.framework.VariantTensorDataProto.Builder
-
Tensors contained within objects being serialized.
- getTensors(int) - 类 中的方法org.tensorflow.framework.VariantTensorDataProto
-
Tensors contained within objects being serialized.
- getTensors(int) - 接口 中的方法org.tensorflow.framework.VariantTensorDataProtoOrBuilder
-
Tensors contained within objects being serialized.
- getTensors(int) - 类 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder
-
The index within the repeated field is the output number that will help
uniquely identify (along with the above op_id) the particular tensor.
- getTensors(int) - 类 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
-
The index within the repeated field is the output number that will help
uniquely identify (along with the above op_id) the particular tensor.
- getTensors(int) - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequestOrBuilder
-
The index within the repeated field is the output number that will help
uniquely identify (along with the above op_id) the particular tensor.
- getTensorsBuilder(int) - 类 中的方法org.tensorflow.framework.VariantTensorDataProto.Builder
-
Tensors contained within objects being serialized.
- getTensorsBuilder(int) - 类 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder
-
The index within the repeated field is the output number that will help
uniquely identify (along with the above op_id) the particular tensor.
- getTensorsBuilderList() - 类 中的方法org.tensorflow.framework.VariantTensorDataProto.Builder
-
Tensors contained within objects being serialized.
- getTensorsBuilderList() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder
-
The index within the repeated field is the output number that will help
uniquely identify (along with the above op_id) the particular tensor.
- getTensorsCount() - 类 中的方法org.tensorflow.framework.VariantTensorDataProto.Builder
-
Tensors contained within objects being serialized.
- getTensorsCount() - 类 中的方法org.tensorflow.framework.VariantTensorDataProto
-
Tensors contained within objects being serialized.
- getTensorsCount() - 接口 中的方法org.tensorflow.framework.VariantTensorDataProtoOrBuilder
-
Tensors contained within objects being serialized.
- getTensorsCount() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder
-
The index within the repeated field is the output number that will help
uniquely identify (along with the above op_id) the particular tensor.
- getTensorsCount() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
-
The index within the repeated field is the output number that will help
uniquely identify (along with the above op_id) the particular tensor.
- getTensorsCount() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequestOrBuilder
-
The index within the repeated field is the output number that will help
uniquely identify (along with the above op_id) the particular tensor.
- getTensorShape() - 类 中的方法org.tensorflow.framework.TensorInfo.Builder
-
The static shape should be recorded here, to the extent that it can
be known in advance.
- getTensorShape() - 类 中的方法org.tensorflow.framework.TensorInfo
-
The static shape should be recorded here, to the extent that it can
be known in advance.
- getTensorShape() - 接口 中的方法org.tensorflow.framework.TensorInfoOrBuilder
-
The static shape should be recorded here, to the extent that it can
be known in advance.
- getTensorShape() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
Shape of the tensor.
- getTensorShape() - 类 中的方法org.tensorflow.framework.TensorProto
-
Shape of the tensor.
- getTensorShape() - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
Shape of the tensor.
- getTensorShapeBuilder() - 类 中的方法org.tensorflow.framework.TensorInfo.Builder
-
The static shape should be recorded here, to the extent that it can
be known in advance.
- getTensorShapeBuilder() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
Shape of the tensor.
- getTensorShapeOrBuilder() - 类 中的方法org.tensorflow.framework.TensorInfo.Builder
-
The static shape should be recorded here, to the extent that it can
be known in advance.
- getTensorShapeOrBuilder() - 类 中的方法org.tensorflow.framework.TensorInfo
-
The static shape should be recorded here, to the extent that it can
be known in advance.
- getTensorShapeOrBuilder() - 接口 中的方法org.tensorflow.framework.TensorInfoOrBuilder
-
The static shape should be recorded here, to the extent that it can
be known in advance.
- getTensorShapeOrBuilder() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
Shape of the tensor.
- getTensorShapeOrBuilder() - 类 中的方法org.tensorflow.framework.TensorProto
-
Shape of the tensor.
- getTensorShapeOrBuilder() - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
Shape of the tensor.
- getTensorsList() - 类 中的方法org.tensorflow.framework.VariantTensorDataProto.Builder
-
Tensors contained within objects being serialized.
- getTensorsList() - 类 中的方法org.tensorflow.framework.VariantTensorDataProto
-
Tensors contained within objects being serialized.
- getTensorsList() - 接口 中的方法org.tensorflow.framework.VariantTensorDataProtoOrBuilder
-
Tensors contained within objects being serialized.
- getTensorsList() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder
-
The index within the repeated field is the output number that will help
uniquely identify (along with the above op_id) the particular tensor.
- getTensorsList() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
-
The index within the repeated field is the output number that will help
uniquely identify (along with the above op_id) the particular tensor.
- getTensorsList() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequestOrBuilder
-
The index within the repeated field is the output number that will help
uniquely identify (along with the above op_id) the particular tensor.
- getTensorsOrBuilder(int) - 类 中的方法org.tensorflow.framework.VariantTensorDataProto.Builder
-
Tensors contained within objects being serialized.
- getTensorsOrBuilder(int) - 类 中的方法org.tensorflow.framework.VariantTensorDataProto
-
Tensors contained within objects being serialized.
- getTensorsOrBuilder(int) - 接口 中的方法org.tensorflow.framework.VariantTensorDataProtoOrBuilder
-
Tensors contained within objects being serialized.
- getTensorsOrBuilder(int) - 类 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder
-
The index within the repeated field is the output number that will help
uniquely identify (along with the above op_id) the particular tensor.
- getTensorsOrBuilder(int) - 类 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
-
The index within the repeated field is the output number that will help
uniquely identify (along with the above op_id) the particular tensor.
- getTensorsOrBuilder(int) - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequestOrBuilder
-
The index within the repeated field is the output number that will help
uniquely identify (along with the above op_id) the particular tensor.
- getTensorsOrBuilderList() - 类 中的方法org.tensorflow.framework.VariantTensorDataProto.Builder
-
Tensors contained within objects being serialized.
- getTensorsOrBuilderList() - 类 中的方法org.tensorflow.framework.VariantTensorDataProto
-
Tensors contained within objects being serialized.
- getTensorsOrBuilderList() - 接口 中的方法org.tensorflow.framework.VariantTensorDataProtoOrBuilder
-
Tensors contained within objects being serialized.
- getTensorsOrBuilderList() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest.Builder
-
The index within the repeated field is the output number that will help
uniquely identify (along with the above op_id) the particular tensor.
- getTensorsOrBuilderList() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
-
The index within the repeated field is the output number that will help
uniquely identify (along with the above op_id) the particular tensor.
- getTensorsOrBuilderList() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequestOrBuilder
-
The index within the repeated field is the output number that will help
uniquely identify (along with the above op_id) the particular tensor.
- getThreadId() - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
uint32 thread_id = 10;
- getThreadId() - 类 中的方法org.tensorflow.framework.NodeExecStats
-
uint32 thread_id = 10;
- getThreadId() - 接口 中的方法org.tensorflow.framework.NodeExecStatsOrBuilder
-
uint32 thread_id = 10;
- getTimelineLabel() - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
string timeline_label = 8;
- getTimelineLabel() - 类 中的方法org.tensorflow.framework.NodeExecStats
-
string timeline_label = 8;
- getTimelineLabel() - 接口 中的方法org.tensorflow.framework.NodeExecStatsOrBuilder
-
string timeline_label = 8;
- getTimelineLabelBytes() - 类 中的方法org.tensorflow.framework.NodeExecStats.Builder
-
string timeline_label = 8;
- getTimelineLabelBytes() - 类 中的方法org.tensorflow.framework.NodeExecStats
-
string timeline_label = 8;
- getTimelineLabelBytes() - 接口 中的方法org.tensorflow.framework.NodeExecStatsOrBuilder
-
string timeline_label = 8;
- getTimelineStep() - 类 中的方法org.tensorflow.framework.GraphOptions.Builder
-
If > 0, record a timeline every this many steps.
- getTimelineStep() - 类 中的方法org.tensorflow.framework.GraphOptions
-
If > 0, record a timeline every this many steps.
- getTimelineStep() - 接口 中的方法org.tensorflow.framework.GraphOptionsOrBuilder
-
If > 0, record a timeline every this many steps.
- getTimeoutInMs() - 类 中的方法org.tensorflow.framework.RunOptions.Builder
-
Time to wait for operation to complete in milliseconds.
- getTimeoutInMs() - 类 中的方法org.tensorflow.framework.RunOptions
-
Time to wait for operation to complete in milliseconds.
- getTimeoutInMs() - 接口 中的方法org.tensorflow.framework.RunOptionsOrBuilder
-
Time to wait for operation to complete in milliseconds.
- getTolerateDebugOpCreationFailures() - 类 中的方法org.tensorflow.framework.DebugTensorWatch.Builder
-
Do not error out if debug op creation fails (e.g., due to dtype
incompatibility).
- getTolerateDebugOpCreationFailures() - 类 中的方法org.tensorflow.framework.DebugTensorWatch
-
Do not error out if debug op creation fails (e.g., due to dtype
incompatibility).
- getTolerateDebugOpCreationFailures() - 接口 中的方法org.tensorflow.framework.DebugTensorWatchOrBuilder
-
Do not error out if debug op creation fails (e.g., due to dtype
incompatibility).
- getTotalBytes() - 类 中的方法org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
These are per-node allocator memory stats.
- getTotalBytes() - 类 中的方法org.tensorflow.framework.AllocatorMemoryUsed
-
These are per-node allocator memory stats.
- getTotalBytes() - 接口 中的方法org.tensorflow.framework.AllocatorMemoryUsedOrBuilder
-
These are per-node allocator memory stats.
- getToTensor() - 类 中的方法org.tensorflow.framework.TensorConnection.Builder
-
A tensor name.
- getToTensor() - 类 中的方法org.tensorflow.framework.TensorConnection
-
A tensor name.
- getToTensor() - 接口 中的方法org.tensorflow.framework.TensorConnectionOrBuilder
-
A tensor name.
- getToTensorBytes() - 类 中的方法org.tensorflow.framework.TensorConnection.Builder
-
A tensor name.
- getToTensorBytes() - 类 中的方法org.tensorflow.framework.TensorConnection
-
A tensor name.
- getToTensorBytes() - 接口 中的方法org.tensorflow.framework.TensorConnectionOrBuilder
-
A tensor name.
- getTraceLevel() - 类 中的方法org.tensorflow.framework.RunOptions.Builder
-
.tensorflow.RunOptions.TraceLevel trace_level = 1;
- getTraceLevel() - 类 中的方法org.tensorflow.framework.RunOptions
-
.tensorflow.RunOptions.TraceLevel trace_level = 1;
- getTraceLevel() - 接口 中的方法org.tensorflow.framework.RunOptionsOrBuilder
-
.tensorflow.RunOptions.TraceLevel trace_level = 1;
- getTraceLevelValue() - 类 中的方法org.tensorflow.framework.RunOptions.Builder
-
.tensorflow.RunOptions.TraceLevel trace_level = 1;
- getTraceLevelValue() - 类 中的方法org.tensorflow.framework.RunOptions
-
.tensorflow.RunOptions.TraceLevel trace_level = 1;
- getTraceLevelValue() - 接口 中的方法org.tensorflow.framework.RunOptionsOrBuilder
-
.tensorflow.RunOptions.TraceLevel trace_level = 1;
- getTracingMethod() - 类 中的静态方法org.tensorflow.distruntime.WorkerServiceGrpc
-
- getTrainable() - 类 中的方法org.tensorflow.framework.VariableDef.Builder
-
Whether this variable should be trained.
- getTrainable() - 类 中的方法org.tensorflow.framework.VariableDef
-
Whether this variable should be trained.
- getTrainable() - 接口 中的方法org.tensorflow.framework.VariableDefOrBuilder
-
Whether this variable should be trained.
- getTransportOptions() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest.Builder
-
Optional, implementation-specific data.
- getTransportOptions() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest
-
Optional, implementation-specific data.
- getTransportOptions() - 接口 中的方法org.tensorflow.distruntime.RecvBufRequestOrBuilder
-
Optional, implementation-specific data.
- getTransportOptions() - 类 中的方法org.tensorflow.distruntime.RecvBufResponse.Builder
-
Optional, implementation-specific data.
- getTransportOptions() - 类 中的方法org.tensorflow.distruntime.RecvBufResponse
-
Optional, implementation-specific data.
- getTransportOptions() - 接口 中的方法org.tensorflow.distruntime.RecvBufResponseOrBuilder
-
Optional, implementation-specific data.
- getTransportOptions() - 类 中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder
-
Optional information needed by the RPC subsystem.
- getTransportOptions() - 类 中的方法org.tensorflow.distruntime.RecvTensorRequest
-
Optional information needed by the RPC subsystem.
- getTransportOptions() - 接口 中的方法org.tensorflow.distruntime.RecvTensorRequestOrBuilder
-
Optional information needed by the RPC subsystem.
- getTransportOptions() - 类 中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder
-
Optional additional information about how to receive the tensor,
e.g. in the event that `RecvTensorRequest.dma_ok` was true.
- getTransportOptions() - 类 中的方法org.tensorflow.distruntime.RecvTensorResponse
-
Optional additional information about how to receive the tensor,
e.g. in the event that `RecvTensorRequest.dma_ok` was true.
- getTransportOptions() - 接口 中的方法org.tensorflow.distruntime.RecvTensorResponseOrBuilder
-
Optional additional information about how to receive the tensor,
e.g. in the event that `RecvTensorRequest.dma_ok` was true.
- getTransportOptionsBuilder() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest.Builder
-
Optional, implementation-specific data.
- getTransportOptionsBuilder() - 类 中的方法org.tensorflow.distruntime.RecvBufResponse.Builder
-
Optional, implementation-specific data.
- getTransportOptionsBuilder() - 类 中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder
-
Optional information needed by the RPC subsystem.
- getTransportOptionsBuilder() - 类 中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder
-
Optional additional information about how to receive the tensor,
e.g. in the event that `RecvTensorRequest.dma_ok` was true.
- getTransportOptionsOrBuilder() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest.Builder
-
Optional, implementation-specific data.
- getTransportOptionsOrBuilder() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest
-
Optional, implementation-specific data.
- getTransportOptionsOrBuilder() - 接口 中的方法org.tensorflow.distruntime.RecvBufRequestOrBuilder
-
Optional, implementation-specific data.
- getTransportOptionsOrBuilder() - 类 中的方法org.tensorflow.distruntime.RecvBufResponse.Builder
-
Optional, implementation-specific data.
- getTransportOptionsOrBuilder() - 类 中的方法org.tensorflow.distruntime.RecvBufResponse
-
Optional, implementation-specific data.
- getTransportOptionsOrBuilder() - 接口 中的方法org.tensorflow.distruntime.RecvBufResponseOrBuilder
-
Optional, implementation-specific data.
- getTransportOptionsOrBuilder() - 类 中的方法org.tensorflow.distruntime.RecvTensorRequest.Builder
-
Optional information needed by the RPC subsystem.
- getTransportOptionsOrBuilder() - 类 中的方法org.tensorflow.distruntime.RecvTensorRequest
-
Optional information needed by the RPC subsystem.
- getTransportOptionsOrBuilder() - 接口 中的方法org.tensorflow.distruntime.RecvTensorRequestOrBuilder
-
Optional information needed by the RPC subsystem.
- getTransportOptionsOrBuilder() - 类 中的方法org.tensorflow.distruntime.RecvTensorResponse.Builder
-
Optional additional information about how to receive the tensor,
e.g. in the event that `RecvTensorRequest.dma_ok` was true.
- getTransportOptionsOrBuilder() - 类 中的方法org.tensorflow.distruntime.RecvTensorResponse
-
Optional additional information about how to receive the tensor,
e.g. in the event that `RecvTensorRequest.dma_ok` was true.
- getTransportOptionsOrBuilder() - 接口 中的方法org.tensorflow.distruntime.RecvTensorResponseOrBuilder
-
Optional additional information about how to receive the tensor,
e.g. in the event that `RecvTensorRequest.dma_ok` was true.
- getType() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest.Builder
-
int32 type = 2;
- getType() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest
-
int32 type = 2;
- getType() - 接口 中的方法org.tensorflow.distruntime.CompleteInstanceRequestOrBuilder
-
int32 type = 2;
- getType() - 类 中的方法org.tensorflow.framework.AttrValue.Builder
-
"type"
.tensorflow.DataType type = 6;
- getType() - 类 中的方法org.tensorflow.framework.AttrValue
-
"type"
.tensorflow.DataType type = 6;
- getType(int) - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(type)"
repeated .tensorflow.DataType type = 6 [packed = true];
- getType(int) - 类 中的方法org.tensorflow.framework.AttrValue.ListValue
-
"list(type)"
repeated .tensorflow.DataType type = 6 [packed = true];
- getType(int) - 接口 中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(type)"
repeated .tensorflow.DataType type = 6 [packed = true];
- getType() - 接口 中的方法org.tensorflow.framework.AttrValueOrBuilder
-
"type"
.tensorflow.DataType type = 6;
- getType() - 类 中的方法org.tensorflow.framework.InterconnectLink.Builder
-
string type = 2;
- getType() - 类 中的方法org.tensorflow.framework.InterconnectLink
-
string type = 2;
- getType() - 接口 中的方法org.tensorflow.framework.InterconnectLinkOrBuilder
-
string type = 2;
- getType() - 类 中的方法org.tensorflow.framework.OpDef.ArgDef.Builder
-
Describes the type of one or more tensors that are accepted/produced
by this input/output arg.
- getType() - 类 中的方法org.tensorflow.framework.OpDef.ArgDef
-
Describes the type of one or more tensors that are accepted/produced
by this input/output arg.
- getType() - 接口 中的方法org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
Describes the type of one or more tensors that are accepted/produced
by this input/output arg.
- getType() - 类 中的方法org.tensorflow.framework.OpDef.AttrDef.Builder
-
One of the type names from attr_value.proto ("string", "list(string)",
"int", etc.).
- getType() - 类 中的方法org.tensorflow.framework.OpDef.AttrDef
-
One of the type names from attr_value.proto ("string", "list(string)",
"int", etc.).
- getType() - 接口 中的方法org.tensorflow.framework.OpDef.AttrDefOrBuilder
-
One of the type names from attr_value.proto ("string", "list(string)",
"int", etc.).
- getType() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Device type (CPU, GPU, ...)
- getType() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties
-
Device type (CPU, GPU, ...)
- getType() - 接口 中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
Device type (CPU, GPU, ...)
- getType() - 类 中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig.Builder
-
Identifies the type of the LogCollector we will use to collect these logs.
- getType() - 类 中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
-
Identifies the type of the LogCollector we will use to collect these logs.
- getType() - 接口 中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfigOrBuilder
-
Identifies the type of the LogCollector we will use to collect these logs.
- getTypeAttr() - 类 中的方法org.tensorflow.framework.OpDef.ArgDef.Builder
-
if specified, attr must have type "type"
string type_attr = 4;
- getTypeAttr() - 类 中的方法org.tensorflow.framework.OpDef.ArgDef
-
if specified, attr must have type "type"
string type_attr = 4;
- getTypeAttr() - 接口 中的方法org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
if specified, attr must have type "type"
string type_attr = 4;
- getTypeAttrBytes() - 类 中的方法org.tensorflow.framework.OpDef.ArgDef.Builder
-
if specified, attr must have type "type"
string type_attr = 4;
- getTypeAttrBytes() - 类 中的方法org.tensorflow.framework.OpDef.ArgDef
-
if specified, attr must have type "type"
string type_attr = 4;
- getTypeAttrBytes() - 接口 中的方法org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
if specified, attr must have type "type"
string type_attr = 4;
- getTypeBytes() - 类 中的方法org.tensorflow.framework.InterconnectLink.Builder
-
string type = 2;
- getTypeBytes() - 类 中的方法org.tensorflow.framework.InterconnectLink
-
string type = 2;
- getTypeBytes() - 接口 中的方法org.tensorflow.framework.InterconnectLinkOrBuilder
-
string type = 2;
- getTypeBytes() - 类 中的方法org.tensorflow.framework.OpDef.AttrDef.Builder
-
One of the type names from attr_value.proto ("string", "list(string)",
"int", etc.).
- getTypeBytes() - 类 中的方法org.tensorflow.framework.OpDef.AttrDef
-
One of the type names from attr_value.proto ("string", "list(string)",
"int", etc.).
- getTypeBytes() - 接口 中的方法org.tensorflow.framework.OpDef.AttrDefOrBuilder
-
One of the type names from attr_value.proto ("string", "list(string)",
"int", etc.).
- getTypeBytes() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Device type (CPU, GPU, ...)
- getTypeBytes() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties
-
Device type (CPU, GPU, ...)
- getTypeBytes() - 接口 中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
Device type (CPU, GPU, ...)
- getTypeBytes() - 类 中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig.Builder
-
Identifies the type of the LogCollector we will use to collect these logs.
- getTypeBytes() - 类 中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
-
Identifies the type of the LogCollector we will use to collect these logs.
- getTypeBytes() - 接口 中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfigOrBuilder
-
Identifies the type of the LogCollector we will use to collect these logs.
- getTypeCount() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(type)"
repeated .tensorflow.DataType type = 6 [packed = true];
- getTypeCount() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue
-
"list(type)"
repeated .tensorflow.DataType type = 6 [packed = true];
- getTypeCount() - 接口 中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(type)"
repeated .tensorflow.DataType type = 6 [packed = true];
- getTypeHint() - 类 中的方法org.tensorflow.framework.SummaryDescription.Builder
-
Hint on how plugins should process the data in this series.
- getTypeHint() - 类 中的方法org.tensorflow.framework.SummaryDescription
-
Hint on how plugins should process the data in this series.
- getTypeHint() - 接口 中的方法org.tensorflow.framework.SummaryDescriptionOrBuilder
-
Hint on how plugins should process the data in this series.
- getTypeHintBytes() - 类 中的方法org.tensorflow.framework.SummaryDescription.Builder
-
Hint on how plugins should process the data in this series.
- getTypeHintBytes() - 类 中的方法org.tensorflow.framework.SummaryDescription
-
Hint on how plugins should process the data in this series.
- getTypeHintBytes() - 接口 中的方法org.tensorflow.framework.SummaryDescriptionOrBuilder
-
Hint on how plugins should process the data in this series.
- getTypeList() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(type)"
repeated .tensorflow.DataType type = 6 [packed = true];
- getTypeList() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue
-
"list(type)"
repeated .tensorflow.DataType type = 6 [packed = true];
- getTypeList() - 接口 中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(type)"
repeated .tensorflow.DataType type = 6 [packed = true];
- getTypeListAttr() - 类 中的方法org.tensorflow.framework.OpDef.ArgDef.Builder
-
If specified, attr must have type "list(type)", and none of
type, type_attr, and number_attr may be specified.
- getTypeListAttr() - 类 中的方法org.tensorflow.framework.OpDef.ArgDef
-
If specified, attr must have type "list(type)", and none of
type, type_attr, and number_attr may be specified.
- getTypeListAttr() - 接口 中的方法org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
If specified, attr must have type "list(type)", and none of
type, type_attr, and number_attr may be specified.
- getTypeListAttrBytes() - 类 中的方法org.tensorflow.framework.OpDef.ArgDef.Builder
-
If specified, attr must have type "list(type)", and none of
type, type_attr, and number_attr may be specified.
- getTypeListAttrBytes() - 类 中的方法org.tensorflow.framework.OpDef.ArgDef
-
If specified, attr must have type "list(type)", and none of
type, type_attr, and number_attr may be specified.
- getTypeListAttrBytes() - 接口 中的方法org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
If specified, attr must have type "list(type)", and none of
type, type_attr, and number_attr may be specified.
- getTypeName() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
string type_name = 3;
- getTypeName() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInfo
-
string type_name = 3;
- getTypeName() - 接口 中的方法org.tensorflow.framework.GraphTransferNodeInfoOrBuilder
-
string type_name = 3;
- getTypeName() - 类 中的方法org.tensorflow.framework.VariantTensorDataProto.Builder
-
Name of the type of objects being serialized.
- getTypeName() - 类 中的方法org.tensorflow.framework.VariantTensorDataProto
-
Name of the type of objects being serialized.
- getTypeName() - 接口 中的方法org.tensorflow.framework.VariantTensorDataProtoOrBuilder
-
Name of the type of objects being serialized.
- getTypeNameBytes() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInfo.Builder
-
string type_name = 3;
- getTypeNameBytes() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInfo
-
string type_name = 3;
- getTypeNameBytes() - 接口 中的方法org.tensorflow.framework.GraphTransferNodeInfoOrBuilder
-
string type_name = 3;
- getTypeNameBytes() - 类 中的方法org.tensorflow.framework.VariantTensorDataProto.Builder
-
Name of the type of objects being serialized.
- getTypeNameBytes() - 类 中的方法org.tensorflow.framework.VariantTensorDataProto
-
Name of the type of objects being serialized.
- getTypeNameBytes() - 接口 中的方法org.tensorflow.framework.VariantTensorDataProtoOrBuilder
-
Name of the type of objects being serialized.
- getTypeValue() - 类 中的方法org.tensorflow.framework.AttrValue.Builder
-
"type"
.tensorflow.DataType type = 6;
- getTypeValue() - 类 中的方法org.tensorflow.framework.AttrValue
-
"type"
.tensorflow.DataType type = 6;
- getTypeValue(int) - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(type)"
repeated .tensorflow.DataType type = 6 [packed = true];
- getTypeValue(int) - 类 中的方法org.tensorflow.framework.AttrValue.ListValue
-
"list(type)"
repeated .tensorflow.DataType type = 6 [packed = true];
- getTypeValue(int) - 接口 中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(type)"
repeated .tensorflow.DataType type = 6 [packed = true];
- getTypeValue() - 接口 中的方法org.tensorflow.framework.AttrValueOrBuilder
-
"type"
.tensorflow.DataType type = 6;
- getTypeValue() - 类 中的方法org.tensorflow.framework.OpDef.ArgDef.Builder
-
Describes the type of one or more tensors that are accepted/produced
by this input/output arg.
- getTypeValue() - 类 中的方法org.tensorflow.framework.OpDef.ArgDef
-
Describes the type of one or more tensors that are accepted/produced
by this input/output arg.
- getTypeValue() - 接口 中的方法org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
Describes the type of one or more tensors that are accepted/produced
by this input/output arg.
- getTypeValueList() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(type)"
repeated .tensorflow.DataType type = 6 [packed = true];
- getTypeValueList() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue
-
"list(type)"
repeated .tensorflow.DataType type = 6 [packed = true];
- getTypeValueList() - 接口 中的方法org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(type)"
repeated .tensorflow.DataType type = 6 [packed = true];
- getUint32Val(int) - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
- getUint32Val(int) - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
- getUint32Val(int) - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
- getUint32ValCount() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
- getUint32ValCount() - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
- getUint32ValCount() - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
- getUint32ValList() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
- getUint32ValList() - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
- getUint32ValList() - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
- getUint64Val(int) - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
- getUint64Val(int) - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
- getUint64Val(int) - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
- getUint64ValCount() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
- getUint64ValCount() - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
- getUint64ValCount() - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
- getUint64ValList() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
- getUint64ValList() - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
- getUint64ValList() - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.CleanupAllRequest
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.CleanupAllResponse
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.CleanupGraphRequest
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.CleanupGraphResponse
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.CloseSessionRequest
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.CloseSessionResponse
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.ClusterDef
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.CompleteGroupRequest
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.CompleteGroupResponse
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceRequest
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.CompleteInstanceResponse
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.CreateSessionRequest
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.CreateSessionResponse
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.CreateWorkerSessionRequest
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.CreateWorkerSessionResponse
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.DeleteWorkerSessionRequest
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.DeleteWorkerSessionResponse
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.DeregisterGraphRequest
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.DeregisterGraphResponse
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.ExecutorOpts
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.ExtendSessionRequest
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.ExtendSessionResponse
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.GetStatusRequest
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.GetStatusResponse
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.GetStepSequenceRequest
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.GetStepSequenceResponse
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.JobDef
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.LabeledStepStats
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.ListDevicesRequest
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.ListDevicesResponse
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.LoggingRequest
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.LoggingResponse
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.MakeCallableRequest
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.MakeCallableResponse
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.PartialRunSetupRequest
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.PartialRunSetupResponse
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.RecvBufRequest
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.RecvBufResponse
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.RecvTensorRequest
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.RecvTensorResponse
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.RegisterGraphRequest
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.RegisterGraphResponse
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.ReleaseCallableRequest
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.ReleaseCallableResponse
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.ResetRequest
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.ResetResponse
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.RunCallableRequest
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.RunCallableResponse
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.RunGraphRequest
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.RunGraphResponse
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.RunStepRequest
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.RunStepResponse
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.ServerDef
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.StepSequence
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.TraceOpts
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.TracingRequest
-
- getUnknownFields() - 类 中的方法org.tensorflow.distruntime.TracingResponse
-
- getUnknownFields() - 类 中的方法org.tensorflow.example.BytesList
-
- getUnknownFields() - 类 中的方法org.tensorflow.example.Example
-
- getUnknownFields() - 类 中的方法org.tensorflow.example.ExampleParserConfiguration
-
- getUnknownFields() - 类 中的方法org.tensorflow.example.Feature
-
- getUnknownFields() - 类 中的方法org.tensorflow.example.FeatureConfiguration
-
- getUnknownFields() - 类 中的方法org.tensorflow.example.FeatureList
-
- getUnknownFields() - 类 中的方法org.tensorflow.example.FeatureLists
-
- getUnknownFields() - 类 中的方法org.tensorflow.example.Features
-
- getUnknownFields() - 类 中的方法org.tensorflow.example.FixedLenFeatureProto
-
- getUnknownFields() - 类 中的方法org.tensorflow.example.FloatList
-
- getUnknownFields() - 类 中的方法org.tensorflow.example.Int64List
-
- getUnknownFields() - 类 中的方法org.tensorflow.example.SequenceExample
-
- getUnknownFields() - 类 中的方法org.tensorflow.example.VarLenFeatureProto
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.AllocationDescription
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.AllocationRecord
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.AllocatorMemoryUsed
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.ApiDef.Arg
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.ApiDef.Attr
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.ApiDef.Endpoint
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.ApiDef
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.ApiDefs
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.AssetFileDef
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.AttrValue
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.AttrValue.ListValue
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.AutoParallelOptions
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.CallableOptions
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.CollectionDef.AnyList
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.CollectionDef.BytesList
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.CollectionDef.FloatList
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.CollectionDef
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.CollectionDef.Int64List
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.CollectionDef.NodeList
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.CondContextDef
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.ConfigProto.Experimental
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.ConfigProto
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.ControlFlowContextDef
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.CostGraphDef
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.InputInfo
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.CriticalSectionDef
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.CriticalSectionExecutionDef
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.DebuggedSourceFile
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.DebuggedSourceFiles
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.DebugOptions
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.DebugTensorWatch
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.DeviceAttributes
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.DeviceLocality
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.DeviceStepStats
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.FunctionDef
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.FunctionDefLibrary
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.GPUOptions.Experimental
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.GPUOptions
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.GradientDef
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.GraphDef
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.GraphOptions
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.GraphTransferConstNodeInfo
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.GraphTransferGraphInputNodeInfo
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.GraphTransferGraphOutputNodeInfo
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.GraphTransferInfo
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInfo
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInput
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.GraphTransferNodeInputInfo
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.GraphTransferNodeOutputInfo
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.HistogramProto
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.InterconnectLink
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.KernelDef.AttrConstraint
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.KernelDef
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.KernelList
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.LocalLinks
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.MemoryLogRawAllocation
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.MemoryLogRawDeallocation
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.MemoryLogStep
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.MemoryLogTensorAllocation
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.MemoryLogTensorDeallocation
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.MemoryLogTensorOutput
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.MemoryStats
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.MetaGraphDef
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.MetaGraphDef.MetaInfoDef
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.NameAttrList
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.NamedTensorProto
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.NodeDef
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.NodeExecStats
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.NodeOutput
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.OpDef.ArgDef
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.OpDef.AttrDef
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.OpDef
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.OpDeprecation
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.OpList
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.OptimizerOptions
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.QueueRunnerDef
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.ReaderBaseState
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.ResourceHandleProto
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.RewriterConfig
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.RPCOptions
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.RunMetadata
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.RunOptions.Experimental
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.RunOptions
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.SavedModel
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.SaveSliceInfoDef
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.ScopedAllocatorOptions
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.SignatureDef
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.StepStats
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.Summary.Audio
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.Summary
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.Summary.Image
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.Summary.Value
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.SummaryDescription
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.SummaryMetadata
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.SummaryMetadata.PluginData
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.TensorConnection
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.TensorDescription
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.TensorInfo.CooSparse
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.TensorInfo
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.TensorProto
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.TensorShapeProto.Dim
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.TensorShapeProto
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.TensorSliceProto.Extent
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.TensorSliceProto
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.ThreadPoolOptionProto
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.ValuesDef
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.VariableDef
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.VariantTensorDataProto
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.VersionDef
-
- getUnknownFields() - 类 中的方法org.tensorflow.framework.WhileContextDef
-
- getUnknownFields() - 类 中的方法org.tensorflow.util.BundleEntryProto
-
- getUnknownFields() - 类 中的方法org.tensorflow.util.BundleHeaderProto
-
- getUnknownFields() - 类 中的方法org.tensorflow.util.IteratorStateMetadata
-
- getUnknownFields() - 类 中的方法org.tensorflow.util.SaverDef
-
- getUnknownFields() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
-
- getUnknownFields() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference
-
- getUnknownFields() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor
-
- getUnknownFields() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference
-
- getUnknownFields() - 类 中的方法tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph
-
- getUnknownFields() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties
-
- getUnknownFields() - 类 中的方法tensorflow.DevicePropertiesProtos.NamedDevice
-
- getUnknownFields() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextRequest
-
- getUnknownFields() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CloseContextResponse
-
- getUnknownFields() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
-
- getUnknownFields() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextResponse
-
- getUnknownFields() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueRequest
-
- getUnknownFields() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.EnqueueResponse
-
- getUnknownFields() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest
-
- getUnknownFields() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse
-
- getUnknownFields() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.Operation
-
- getUnknownFields() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.QueueItem
-
- getUnknownFields() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.QueueResponse
-
- getUnknownFields() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest
-
- getUnknownFields() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse
-
- getUnknownFields() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle
-
- getUnknownFields() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorRequest
-
- getUnknownFields() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.SendTensorResponse
-
- getUnknownFields() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest
-
- getUnknownFields() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse
-
- getUnknownFields() - 类 中的方法tensorflow.serving.Classification.Class
-
- getUnknownFields() - 类 中的方法tensorflow.serving.Classification.ClassificationRequest
-
- getUnknownFields() - 类 中的方法tensorflow.serving.Classification.ClassificationResponse
-
- getUnknownFields() - 类 中的方法tensorflow.serving.Classification.ClassificationResult
-
- getUnknownFields() - 类 中的方法tensorflow.serving.Classification.Classifications
-
- getUnknownFields() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig
-
- getUnknownFields() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableToMonitor
-
- getUnknownFields() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.All
-
- getUnknownFields() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy
-
- getUnknownFields() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Latest
-
- getUnknownFields() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific
-
- getUnknownFields() - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataRequest
-
- getUnknownFields() - 类 中的方法tensorflow.serving.GetModelMetadata.GetModelMetadataResponse
-
- getUnknownFields() - 类 中的方法tensorflow.serving.GetModelMetadata.SignatureDefMap
-
- getUnknownFields() - 类 中的方法tensorflow.serving.GetModelStatus.GetModelStatusRequest
-
- getUnknownFields() - 类 中的方法tensorflow.serving.GetModelStatus.GetModelStatusResponse
-
- getUnknownFields() - 类 中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus
-
- getUnknownFields() - 类 中的方法tensorflow.serving.Inference.InferenceResult
-
- getUnknownFields() - 类 中的方法tensorflow.serving.Inference.InferenceTask
-
- getUnknownFields() - 类 中的方法tensorflow.serving.Inference.MultiInferenceRequest
-
- getUnknownFields() - 类 中的方法tensorflow.serving.Inference.MultiInferenceResponse
-
- getUnknownFields() - 类 中的方法tensorflow.serving.InputOuterClass.ExampleList
-
- getUnknownFields() - 类 中的方法tensorflow.serving.InputOuterClass.ExampleListWithContext
-
- getUnknownFields() - 类 中的方法tensorflow.serving.InputOuterClass.Input
-
- getUnknownFields() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleList
-
- getUnknownFields() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedExampleListWithContext
-
- getUnknownFields() - 类 中的方法tensorflow.serving.internal.SerializedInputOuterClass.SerializedInput
-
- getUnknownFields() - 类 中的方法tensorflow.serving.LogCollectorConfigOuterClass.LogCollectorConfig
-
- getUnknownFields() - 类 中的方法tensorflow.serving.Logging.LogMetadata
-
- getUnknownFields() - 类 中的方法tensorflow.serving.LoggingConfigOuterClass.LoggingConfig
-
- getUnknownFields() - 类 中的方法tensorflow.serving.LoggingConfigOuterClass.SamplingConfig
-
- getUnknownFields() - 类 中的方法tensorflow.serving.Model.ModelSpec
-
- getUnknownFields() - 类 中的方法tensorflow.serving.ModelManagement.ReloadConfigRequest
-
- getUnknownFields() - 类 中的方法tensorflow.serving.ModelManagement.ReloadConfigResponse
-
- getUnknownFields() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfig
-
- getUnknownFields() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelConfigList
-
- getUnknownFields() - 类 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelServerConfig
-
- getUnknownFields() - 类 中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfig
-
- getUnknownFields() - 类 中的方法tensorflow.serving.PlatformConfigOuterClass.PlatformConfigMap
-
- getUnknownFields() - 类 中的方法tensorflow.serving.Predict.PredictRequest
-
- getUnknownFields() - 类 中的方法tensorflow.serving.Predict.PredictResponse
-
- getUnknownFields() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.ClassifyLog
-
- getUnknownFields() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.MultiInferenceLog
-
- getUnknownFields() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictionLog
-
- getUnknownFields() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.PredictLog
-
- getUnknownFields() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.RegressLog
-
- getUnknownFields() - 类 中的方法tensorflow.serving.PredictionLogOuterClass.SessionRunLog
-
- getUnknownFields() - 类 中的方法tensorflow.serving.RegressionOuterClass.Regression
-
- getUnknownFields() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionRequest
-
- getUnknownFields() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionResponse
-
- getUnknownFields() - 类 中的方法tensorflow.serving.RegressionOuterClass.RegressionResult
-
- getUnknownFields() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunRequest
-
- getUnknownFields() - 类 中的方法tensorflow.serving.SessionServiceOuterClass.SessionRunResponse
-
- getUnknownFields() - 类 中的方法tensorflow.serving.SslConfig.SSLConfig
-
- getUnknownFields() - 类 中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
-
- getUnknownFields() - 类 中的方法tensorflow.serving.Status.StatusProto
-
- getUnknownFields() - 类 中的方法tensorflow.TransportOptions.RecvBufRespExtra
-
- getUnknownRank() - 类 中的方法org.tensorflow.framework.TensorShapeProto.Builder
-
If true, the number of dimensions in the shape is unknown.
- getUnknownRank() - 类 中的方法org.tensorflow.framework.TensorShapeProto
-
If true, the number of dimensions in the shape is unknown.
- getUnknownRank() - 接口 中的方法org.tensorflow.framework.TensorShapeProtoOrBuilder
-
If true, the number of dimensions in the shape is unknown.
- getUseExtendedProfiler() - 类 中的方法org.tensorflow.distruntime.TraceOpts.Builder
-
If true, capture extended profiling events from TensorFlow process.
- getUseExtendedProfiler() - 类 中的方法org.tensorflow.distruntime.TraceOpts
-
If true, capture extended profiling events from TensorFlow process.
- getUseExtendedProfiler() - 接口 中的方法org.tensorflow.distruntime.TraceOptsOrBuilder
-
If true, capture extended profiling events from TensorFlow process.
- getUseGpuProfiler() - 类 中的方法org.tensorflow.distruntime.TraceOpts.Builder
-
If true, capture GPU profiling events locally on each
machine.
- getUseGpuProfiler() - 类 中的方法org.tensorflow.distruntime.TraceOpts
-
If true, capture GPU profiling events locally on each
machine.
- getUseGpuProfiler() - 接口 中的方法org.tensorflow.distruntime.TraceOptsOrBuilder
-
If true, capture GPU profiling events locally on each
machine.
- getUseKernelProfiler() - 类 中的方法org.tensorflow.distruntime.TraceOpts.Builder
-
If true, capture kernel events from each worker.
- getUseKernelProfiler() - 类 中的方法org.tensorflow.distruntime.TraceOpts
-
If true, capture kernel events from each worker.
- getUseKernelProfiler() - 接口 中的方法org.tensorflow.distruntime.TraceOptsOrBuilder
-
If true, capture kernel events from each worker.
- getUsePerSessionThreads() - 类 中的方法org.tensorflow.framework.ConfigProto.Builder
-
If true, use a new set of threads for this session rather than the global
pool of threads.
- getUsePerSessionThreads() - 类 中的方法org.tensorflow.framework.ConfigProto
-
If true, use a new set of threads for this session rather than the global
pool of threads.
- getUsePerSessionThreads() - 接口 中的方法org.tensorflow.framework.ConfigProtoOrBuilder
-
If true, use a new set of threads for this session rather than the global
pool of threads.
- getUseRpcForInprocessMaster() - 类 中的方法org.tensorflow.framework.RPCOptions.Builder
-
If true, always use RPC to contact the session target.
- getUseRpcForInprocessMaster() - 类 中的方法org.tensorflow.framework.RPCOptions
-
If true, always use RPC to contact the session target.
- getUseRpcForInprocessMaster() - 接口 中的方法org.tensorflow.framework.RPCOptionsOrBuilder
-
If true, always use RPC to contact the session target.
- getUseSampleProfiler() - 类 中的方法org.tensorflow.distruntime.TraceOpts.Builder
-
If true, collect sampled profile events.
- getUseSampleProfiler() - 类 中的方法org.tensorflow.distruntime.TraceOpts
-
If true, collect sampled profile events.
- getUseSampleProfiler() - 接口 中的方法org.tensorflow.distruntime.TraceOptsOrBuilder
-
If true, collect sampled profile events.
- getUseStepProfiler() - 类 中的方法org.tensorflow.distruntime.TraceOpts.Builder
-
If true, capture step profile locally in each worker.
- getUseStepProfiler() - 类 中的方法org.tensorflow.distruntime.TraceOpts
-
If true, capture step profile locally in each worker.
- getUseStepProfiler() - 接口 中的方法org.tensorflow.distruntime.TraceOptsOrBuilder
-
If true, capture step profile locally in each worker.
- getUseUnifiedMemory() - 类 中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder
-
If true, uses CUDA unified memory for memory allocations.
- getUseUnifiedMemory() - 类 中的方法org.tensorflow.framework.GPUOptions.Experimental
-
If true, uses CUDA unified memory for memory allocations.
- getUseUnifiedMemory() - 接口 中的方法org.tensorflow.framework.GPUOptions.ExperimentalOrBuilder
-
If true, uses CUDA unified memory for memory allocations.
- getValue(int) - 类 中的方法org.tensorflow.example.BytesList.Builder
-
repeated bytes value = 1;
- getValue(int) - 类 中的方法org.tensorflow.example.BytesList
-
repeated bytes value = 1;
- getValue(int) - 接口 中的方法org.tensorflow.example.BytesListOrBuilder
-
repeated bytes value = 1;
- getValue(int) - 类 中的方法org.tensorflow.example.FloatList.Builder
-
repeated float value = 1 [packed = true];
- getValue(int) - 类 中的方法org.tensorflow.example.FloatList
-
repeated float value = 1 [packed = true];
- getValue(int) - 接口 中的方法org.tensorflow.example.FloatListOrBuilder
-
repeated float value = 1 [packed = true];
- getValue(int) - 类 中的方法org.tensorflow.example.Int64List.Builder
-
repeated int64 value = 1 [packed = true];
- getValue(int) - 类 中的方法org.tensorflow.example.Int64List
-
repeated int64 value = 1 [packed = true];
- getValue(int) - 接口 中的方法org.tensorflow.example.Int64ListOrBuilder
-
repeated int64 value = 1 [packed = true];
- getValue(int) - 类 中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder
-
repeated .google.protobuf.Any value = 1;
- getValue(int) - 类 中的方法org.tensorflow.framework.CollectionDef.AnyList
-
repeated .google.protobuf.Any value = 1;
- getValue(int) - 接口 中的方法org.tensorflow.framework.CollectionDef.AnyListOrBuilder
-
repeated .google.protobuf.Any value = 1;
- getValue(int) - 类 中的方法org.tensorflow.framework.CollectionDef.BytesList.Builder
-
repeated bytes value = 1;
- getValue(int) - 类 中的方法org.tensorflow.framework.CollectionDef.BytesList
-
repeated bytes value = 1;
- getValue(int) - 接口 中的方法org.tensorflow.framework.CollectionDef.BytesListOrBuilder
-
repeated bytes value = 1;
- getValue(int) - 类 中的方法org.tensorflow.framework.CollectionDef.FloatList.Builder
-
repeated float value = 1 [packed = true];
- getValue(int) - 类 中的方法org.tensorflow.framework.CollectionDef.FloatList
-
repeated float value = 1 [packed = true];
- getValue(int) - 接口 中的方法org.tensorflow.framework.CollectionDef.FloatListOrBuilder
-
repeated float value = 1 [packed = true];
- getValue(int) - 类 中的方法org.tensorflow.framework.CollectionDef.Int64List.Builder
-
repeated int64 value = 1 [packed = true];
- getValue(int) - 类 中的方法org.tensorflow.framework.CollectionDef.Int64List
-
repeated int64 value = 1 [packed = true];
- getValue(int) - 接口 中的方法org.tensorflow.framework.CollectionDef.Int64ListOrBuilder
-
repeated int64 value = 1 [packed = true];
- getValue(int) - 类 中的方法org.tensorflow.framework.CollectionDef.NodeList.Builder
-
repeated string value = 1;
- getValue(int) - 类 中的方法org.tensorflow.framework.CollectionDef.NodeList
-
repeated string value = 1;
- getValue(int) - 接口 中的方法org.tensorflow.framework.CollectionDef.NodeListOrBuilder
-
repeated string value = 1;
- getValue(int) - 类 中的方法org.tensorflow.framework.Summary.Builder
-
Set of values for the summary.
- getValue(int) - 类 中的方法org.tensorflow.framework.Summary
-
Set of values for the summary.
- getValue(int) - 接口 中的方法org.tensorflow.framework.SummaryOrBuilder
-
Set of values for the summary.
- getValue() - 类 中的方法tensorflow.serving.RegressionOuterClass.Regression.Builder
-
float value = 1;
- getValue() - 类 中的方法tensorflow.serving.RegressionOuterClass.Regression
-
float value = 1;
- getValue() - 接口 中的方法tensorflow.serving.RegressionOuterClass.RegressionOrBuilder
-
float value = 1;
- getValueBuilder(int) - 类 中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder
-
repeated .google.protobuf.Any value = 1;
- getValueBuilder(int) - 类 中的方法org.tensorflow.framework.Summary.Builder
-
Set of values for the summary.
- getValueBuilderList() - 类 中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder
-
repeated .google.protobuf.Any value = 1;
- getValueBuilderList() - 类 中的方法org.tensorflow.framework.Summary.Builder
-
Set of values for the summary.
- getValueBytes(int) - 类 中的方法org.tensorflow.framework.CollectionDef.NodeList.Builder
-
repeated string value = 1;
- getValueBytes(int) - 类 中的方法org.tensorflow.framework.CollectionDef.NodeList
-
repeated string value = 1;
- getValueBytes(int) - 接口 中的方法org.tensorflow.framework.CollectionDef.NodeListOrBuilder
-
repeated string value = 1;
- getValueCase() - 类 中的方法org.tensorflow.framework.AttrValue.Builder
-
- getValueCase() - 类 中的方法org.tensorflow.framework.AttrValue
-
- getValueCase() - 接口 中的方法org.tensorflow.framework.AttrValueOrBuilder
-
- getValueCase() - 类 中的方法org.tensorflow.framework.Summary.Value.Builder
-
- getValueCase() - 类 中的方法org.tensorflow.framework.Summary.Value
-
- getValueCase() - 接口 中的方法org.tensorflow.framework.Summary.ValueOrBuilder
-
- getValueCount() - 类 中的方法org.tensorflow.example.BytesList.Builder
-
repeated bytes value = 1;
- getValueCount() - 类 中的方法org.tensorflow.example.BytesList
-
repeated bytes value = 1;
- getValueCount() - 接口 中的方法org.tensorflow.example.BytesListOrBuilder
-
repeated bytes value = 1;
- getValueCount() - 类 中的方法org.tensorflow.example.FloatList.Builder
-
repeated float value = 1 [packed = true];
- getValueCount() - 类 中的方法org.tensorflow.example.FloatList
-
repeated float value = 1 [packed = true];
- getValueCount() - 接口 中的方法org.tensorflow.example.FloatListOrBuilder
-
repeated float value = 1 [packed = true];
- getValueCount() - 类 中的方法org.tensorflow.example.Int64List.Builder
-
repeated int64 value = 1 [packed = true];
- getValueCount() - 类 中的方法org.tensorflow.example.Int64List
-
repeated int64 value = 1 [packed = true];
- getValueCount() - 接口 中的方法org.tensorflow.example.Int64ListOrBuilder
-
repeated int64 value = 1 [packed = true];
- getValueCount() - 类 中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder
-
repeated .google.protobuf.Any value = 1;
- getValueCount() - 类 中的方法org.tensorflow.framework.CollectionDef.AnyList
-
repeated .google.protobuf.Any value = 1;
- getValueCount() - 接口 中的方法org.tensorflow.framework.CollectionDef.AnyListOrBuilder
-
repeated .google.protobuf.Any value = 1;
- getValueCount() - 类 中的方法org.tensorflow.framework.CollectionDef.BytesList.Builder
-
repeated bytes value = 1;
- getValueCount() - 类 中的方法org.tensorflow.framework.CollectionDef.BytesList
-
repeated bytes value = 1;
- getValueCount() - 接口 中的方法org.tensorflow.framework.CollectionDef.BytesListOrBuilder
-
repeated bytes value = 1;
- getValueCount() - 类 中的方法org.tensorflow.framework.CollectionDef.FloatList.Builder
-
repeated float value = 1 [packed = true];
- getValueCount() - 类 中的方法org.tensorflow.framework.CollectionDef.FloatList
-
repeated float value = 1 [packed = true];
- getValueCount() - 接口 中的方法org.tensorflow.framework.CollectionDef.FloatListOrBuilder
-
repeated float value = 1 [packed = true];
- getValueCount() - 类 中的方法org.tensorflow.framework.CollectionDef.Int64List.Builder
-
repeated int64 value = 1 [packed = true];
- getValueCount() - 类 中的方法org.tensorflow.framework.CollectionDef.Int64List
-
repeated int64 value = 1 [packed = true];
- getValueCount() - 接口 中的方法org.tensorflow.framework.CollectionDef.Int64ListOrBuilder
-
repeated int64 value = 1 [packed = true];
- getValueCount() - 类 中的方法org.tensorflow.framework.CollectionDef.NodeList.Builder
-
repeated string value = 1;
- getValueCount() - 类 中的方法org.tensorflow.framework.CollectionDef.NodeList
-
repeated string value = 1;
- getValueCount() - 接口 中的方法org.tensorflow.framework.CollectionDef.NodeListOrBuilder
-
repeated string value = 1;
- getValueCount() - 类 中的方法org.tensorflow.framework.Summary.Builder
-
Set of values for the summary.
- getValueCount() - 类 中的方法org.tensorflow.framework.Summary
-
Set of values for the summary.
- getValueCount() - 接口 中的方法org.tensorflow.framework.SummaryOrBuilder
-
Set of values for the summary.
- getValueDescriptor() - 枚举 中的方法org.tensorflow.framework.ApiDef.Visibility
-
- getValueDescriptor() - 枚举 中的方法org.tensorflow.framework.Code
-
- getValueDescriptor() - 枚举 中的方法org.tensorflow.framework.DataType
-
- getValueDescriptor() - 枚举 中的方法org.tensorflow.framework.GraphTransferInfo.Destination
-
- getValueDescriptor() - 枚举 中的方法org.tensorflow.framework.OptimizerOptions.GlobalJitLevel
-
- getValueDescriptor() - 枚举 中的方法org.tensorflow.framework.OptimizerOptions.Level
-
- getValueDescriptor() - 枚举 中的方法org.tensorflow.framework.RewriterConfig.MemOptType
-
- getValueDescriptor() - 枚举 中的方法org.tensorflow.framework.RewriterConfig.NumIterationsType
-
- getValueDescriptor() - 枚举 中的方法org.tensorflow.framework.RewriterConfig.Toggle
-
- getValueDescriptor() - 枚举 中的方法org.tensorflow.framework.RunOptions.TraceLevel
-
- getValueDescriptor() - 枚举 中的方法org.tensorflow.util.BundleHeaderProto.Endianness
-
- getValueDescriptor() - 枚举 中的方法org.tensorflow.util.SaverDef.CheckpointFormatVersion
-
- getValueDescriptor() - 枚举 中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.State
-
- getValueDescriptor() - 枚举 中的方法tensorflow.serving.ModelServerConfigOuterClass.ModelType
-
- getValueList() - 类 中的方法org.tensorflow.example.BytesList.Builder
-
repeated bytes value = 1;
- getValueList() - 类 中的方法org.tensorflow.example.BytesList
-
repeated bytes value = 1;
- getValueList() - 接口 中的方法org.tensorflow.example.BytesListOrBuilder
-
repeated bytes value = 1;
- getValueList() - 类 中的方法org.tensorflow.example.FloatList.Builder
-
repeated float value = 1 [packed = true];
- getValueList() - 类 中的方法org.tensorflow.example.FloatList
-
repeated float value = 1 [packed = true];
- getValueList() - 接口 中的方法org.tensorflow.example.FloatListOrBuilder
-
repeated float value = 1 [packed = true];
- getValueList() - 类 中的方法org.tensorflow.example.Int64List.Builder
-
repeated int64 value = 1 [packed = true];
- getValueList() - 类 中的方法org.tensorflow.example.Int64List
-
repeated int64 value = 1 [packed = true];
- getValueList() - 接口 中的方法org.tensorflow.example.Int64ListOrBuilder
-
repeated int64 value = 1 [packed = true];
- getValueList() - 类 中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder
-
repeated .google.protobuf.Any value = 1;
- getValueList() - 类 中的方法org.tensorflow.framework.CollectionDef.AnyList
-
repeated .google.protobuf.Any value = 1;
- getValueList() - 接口 中的方法org.tensorflow.framework.CollectionDef.AnyListOrBuilder
-
repeated .google.protobuf.Any value = 1;
- getValueList() - 类 中的方法org.tensorflow.framework.CollectionDef.BytesList.Builder
-
repeated bytes value = 1;
- getValueList() - 类 中的方法org.tensorflow.framework.CollectionDef.BytesList
-
repeated bytes value = 1;
- getValueList() - 接口 中的方法org.tensorflow.framework.CollectionDef.BytesListOrBuilder
-
repeated bytes value = 1;
- getValueList() - 类 中的方法org.tensorflow.framework.CollectionDef.FloatList.Builder
-
repeated float value = 1 [packed = true];
- getValueList() - 类 中的方法org.tensorflow.framework.CollectionDef.FloatList
-
repeated float value = 1 [packed = true];
- getValueList() - 接口 中的方法org.tensorflow.framework.CollectionDef.FloatListOrBuilder
-
repeated float value = 1 [packed = true];
- getValueList() - 类 中的方法org.tensorflow.framework.CollectionDef.Int64List.Builder
-
repeated int64 value = 1 [packed = true];
- getValueList() - 类 中的方法org.tensorflow.framework.CollectionDef.Int64List
-
repeated int64 value = 1 [packed = true];
- getValueList() - 接口 中的方法org.tensorflow.framework.CollectionDef.Int64ListOrBuilder
-
repeated int64 value = 1 [packed = true];
- getValueList() - 类 中的方法org.tensorflow.framework.CollectionDef.NodeList.Builder
-
repeated string value = 1;
- getValueList() - 类 中的方法org.tensorflow.framework.CollectionDef.NodeList
-
repeated string value = 1;
- getValueList() - 接口 中的方法org.tensorflow.framework.CollectionDef.NodeListOrBuilder
-
repeated string value = 1;
- getValueList() - 类 中的方法org.tensorflow.framework.Summary.Builder
-
Set of values for the summary.
- getValueList() - 类 中的方法org.tensorflow.framework.Summary
-
Set of values for the summary.
- getValueList() - 接口 中的方法org.tensorflow.framework.SummaryOrBuilder
-
Set of values for the summary.
- getValueOrBuilder(int) - 类 中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder
-
repeated .google.protobuf.Any value = 1;
- getValueOrBuilder(int) - 类 中的方法org.tensorflow.framework.CollectionDef.AnyList
-
repeated .google.protobuf.Any value = 1;
- getValueOrBuilder(int) - 接口 中的方法org.tensorflow.framework.CollectionDef.AnyListOrBuilder
-
repeated .google.protobuf.Any value = 1;
- getValueOrBuilder(int) - 类 中的方法org.tensorflow.framework.Summary.Builder
-
Set of values for the summary.
- getValueOrBuilder(int) - 类 中的方法org.tensorflow.framework.Summary
-
Set of values for the summary.
- getValueOrBuilder(int) - 接口 中的方法org.tensorflow.framework.SummaryOrBuilder
-
Set of values for the summary.
- getValueOrBuilderList() - 类 中的方法org.tensorflow.framework.CollectionDef.AnyList.Builder
-
repeated .google.protobuf.Any value = 1;
- getValueOrBuilderList() - 类 中的方法org.tensorflow.framework.CollectionDef.AnyList
-
repeated .google.protobuf.Any value = 1;
- getValueOrBuilderList() - 接口 中的方法org.tensorflow.framework.CollectionDef.AnyListOrBuilder
-
repeated .google.protobuf.Any value = 1;
- getValueOrBuilderList() - 类 中的方法org.tensorflow.framework.Summary.Builder
-
Set of values for the summary.
- getValueOrBuilderList() - 类 中的方法org.tensorflow.framework.Summary
-
Set of values for the summary.
- getValueOrBuilderList() - 接口 中的方法org.tensorflow.framework.SummaryOrBuilder
-
Set of values for the summary.
- getValues(int) - 类 中的方法org.tensorflow.framework.ValuesDef.Builder
-
Value names that have been seen in this context.
- getValues(int) - 类 中的方法org.tensorflow.framework.ValuesDef
-
Value names that have been seen in this context.
- getValues(int) - 接口 中的方法org.tensorflow.framework.ValuesDefOrBuilder
-
Value names that have been seen in this context.
- getValuesBytes(int) - 类 中的方法org.tensorflow.framework.ValuesDef.Builder
-
Value names that have been seen in this context.
- getValuesBytes(int) - 类 中的方法org.tensorflow.framework.ValuesDef
-
Value names that have been seen in this context.
- getValuesBytes(int) - 接口 中的方法org.tensorflow.framework.ValuesDefOrBuilder
-
Value names that have been seen in this context.
- getValuesCount() - 类 中的方法org.tensorflow.framework.ValuesDef.Builder
-
Value names that have been seen in this context.
- getValuesCount() - 类 中的方法org.tensorflow.framework.ValuesDef
-
Value names that have been seen in this context.
- getValuesCount() - 接口 中的方法org.tensorflow.framework.ValuesDefOrBuilder
-
Value names that have been seen in this context.
- getValuesDef() - 类 中的方法org.tensorflow.framework.CondContextDef.Builder
-
Values and external values in control flow context.
- getValuesDef() - 类 中的方法org.tensorflow.framework.CondContextDef
-
Values and external values in control flow context.
- getValuesDef() - 接口 中的方法org.tensorflow.framework.CondContextDefOrBuilder
-
Values and external values in control flow context.
- getValuesDef() - 类 中的方法org.tensorflow.framework.WhileContextDef.Builder
-
Values and external values in control flow context.
- getValuesDef() - 类 中的方法org.tensorflow.framework.WhileContextDef
-
Values and external values in control flow context.
- getValuesDef() - 接口 中的方法org.tensorflow.framework.WhileContextDefOrBuilder
-
Values and external values in control flow context.
- getValuesDefBuilder() - 类 中的方法org.tensorflow.framework.CondContextDef.Builder
-
Values and external values in control flow context.
- getValuesDefBuilder() - 类 中的方法org.tensorflow.framework.WhileContextDef.Builder
-
Values and external values in control flow context.
- getValuesDefOrBuilder() - 类 中的方法org.tensorflow.framework.CondContextDef.Builder
-
Values and external values in control flow context.
- getValuesDefOrBuilder() - 类 中的方法org.tensorflow.framework.CondContextDef
-
Values and external values in control flow context.
- getValuesDefOrBuilder() - 接口 中的方法org.tensorflow.framework.CondContextDefOrBuilder
-
Values and external values in control flow context.
- getValuesDefOrBuilder() - 类 中的方法org.tensorflow.framework.WhileContextDef.Builder
-
Values and external values in control flow context.
- getValuesDefOrBuilder() - 类 中的方法org.tensorflow.framework.WhileContextDef
-
Values and external values in control flow context.
- getValuesDefOrBuilder() - 接口 中的方法org.tensorflow.framework.WhileContextDefOrBuilder
-
Values and external values in control flow context.
- getValuesList() - 类 中的方法org.tensorflow.framework.ValuesDef.Builder
-
Value names that have been seen in this context.
- getValuesList() - 类 中的方法org.tensorflow.framework.ValuesDef
-
Value names that have been seen in this context.
- getValuesList() - 接口 中的方法org.tensorflow.framework.ValuesDefOrBuilder
-
Value names that have been seen in this context.
- getValuesOutputTensorName() - 类 中的方法org.tensorflow.example.FixedLenFeatureProto.Builder
-
string values_output_tensor_name = 4;
- getValuesOutputTensorName() - 类 中的方法org.tensorflow.example.FixedLenFeatureProto
-
string values_output_tensor_name = 4;
- getValuesOutputTensorName() - 接口 中的方法org.tensorflow.example.FixedLenFeatureProtoOrBuilder
-
string values_output_tensor_name = 4;
- getValuesOutputTensorName() - 类 中的方法org.tensorflow.example.VarLenFeatureProto.Builder
-
string values_output_tensor_name = 2;
- getValuesOutputTensorName() - 类 中的方法org.tensorflow.example.VarLenFeatureProto
-
string values_output_tensor_name = 2;
- getValuesOutputTensorName() - 接口 中的方法org.tensorflow.example.VarLenFeatureProtoOrBuilder
-
string values_output_tensor_name = 2;
- getValuesOutputTensorNameBytes() - 类 中的方法org.tensorflow.example.FixedLenFeatureProto.Builder
-
string values_output_tensor_name = 4;
- getValuesOutputTensorNameBytes() - 类 中的方法org.tensorflow.example.FixedLenFeatureProto
-
string values_output_tensor_name = 4;
- getValuesOutputTensorNameBytes() - 接口 中的方法org.tensorflow.example.FixedLenFeatureProtoOrBuilder
-
string values_output_tensor_name = 4;
- getValuesOutputTensorNameBytes() - 类 中的方法org.tensorflow.example.VarLenFeatureProto.Builder
-
string values_output_tensor_name = 2;
- getValuesOutputTensorNameBytes() - 类 中的方法org.tensorflow.example.VarLenFeatureProto
-
string values_output_tensor_name = 2;
- getValuesOutputTensorNameBytes() - 接口 中的方法org.tensorflow.example.VarLenFeatureProtoOrBuilder
-
string values_output_tensor_name = 2;
- getValuesTensorName() - 类 中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder
-
The shape of the values Tensor is [?].
- getValuesTensorName() - 类 中的方法org.tensorflow.framework.TensorInfo.CooSparse
-
The shape of the values Tensor is [?].
- getValuesTensorName() - 接口 中的方法org.tensorflow.framework.TensorInfo.CooSparseOrBuilder
-
The shape of the values Tensor is [?].
- getValuesTensorNameBytes() - 类 中的方法org.tensorflow.framework.TensorInfo.CooSparse.Builder
-
The shape of the values Tensor is [?].
- getValuesTensorNameBytes() - 类 中的方法org.tensorflow.framework.TensorInfo.CooSparse
-
The shape of the values Tensor is [?].
- getValuesTensorNameBytes() - 接口 中的方法org.tensorflow.framework.TensorInfo.CooSparseOrBuilder
-
The shape of the values Tensor is [?].
- getVariableName() - 类 中的方法org.tensorflow.framework.VariableDef.Builder
-
Name of the variable tensor.
- getVariableName() - 类 中的方法org.tensorflow.framework.VariableDef
-
Name of the variable tensor.
- getVariableName() - 接口 中的方法org.tensorflow.framework.VariableDefOrBuilder
-
Name of the variable tensor.
- getVariableNameBytes() - 类 中的方法org.tensorflow.framework.VariableDef.Builder
-
Name of the variable tensor.
- getVariableNameBytes() - 类 中的方法org.tensorflow.framework.VariableDef
-
Name of the variable tensor.
- getVariableNameBytes() - 接口 中的方法org.tensorflow.framework.VariableDefOrBuilder
-
Name of the variable tensor.
- getVariantVal(int) - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
- getVariantVal(int) - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
- getVariantVal(int) - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
- getVariantValBuilder(int) - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
- getVariantValBuilderList() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
- getVariantValCount() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
- getVariantValCount() - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
- getVariantValCount() - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
- getVariantValList() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
- getVariantValList() - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
- getVariantValList() - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
- getVariantValOrBuilder(int) - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
- getVariantValOrBuilder(int) - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
- getVariantValOrBuilder(int) - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
- getVariantValOrBuilderList() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
- getVariantValOrBuilderList() - 类 中的方法org.tensorflow.framework.TensorProto
-
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
- getVariantValOrBuilderList() - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
- getVarLenFeature() - 类 中的方法org.tensorflow.example.FeatureConfiguration.Builder
-
.tensorflow.VarLenFeatureProto var_len_feature = 2;
- getVarLenFeature() - 类 中的方法org.tensorflow.example.FeatureConfiguration
-
.tensorflow.VarLenFeatureProto var_len_feature = 2;
- getVarLenFeature() - 接口 中的方法org.tensorflow.example.FeatureConfigurationOrBuilder
-
.tensorflow.VarLenFeatureProto var_len_feature = 2;
- getVarLenFeatureBuilder() - 类 中的方法org.tensorflow.example.FeatureConfiguration.Builder
-
.tensorflow.VarLenFeatureProto var_len_feature = 2;
- getVarLenFeatureOrBuilder() - 类 中的方法org.tensorflow.example.FeatureConfiguration.Builder
-
.tensorflow.VarLenFeatureProto var_len_feature = 2;
- getVarLenFeatureOrBuilder() - 类 中的方法org.tensorflow.example.FeatureConfiguration
-
.tensorflow.VarLenFeatureProto var_len_feature = 2;
- getVarLenFeatureOrBuilder() - 接口 中的方法org.tensorflow.example.FeatureConfigurationOrBuilder
-
.tensorflow.VarLenFeatureProto var_len_feature = 2;
- getVarOffset(int) - 类 中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Offset of this variable into the full variable.
- getVarOffset(int) - 类 中的方法org.tensorflow.framework.SaveSliceInfoDef
-
Offset of this variable into the full variable.
- getVarOffset(int) - 接口 中的方法org.tensorflow.framework.SaveSliceInfoDefOrBuilder
-
Offset of this variable into the full variable.
- getVarOffsetCount() - 类 中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Offset of this variable into the full variable.
- getVarOffsetCount() - 类 中的方法org.tensorflow.framework.SaveSliceInfoDef
-
Offset of this variable into the full variable.
- getVarOffsetCount() - 接口 中的方法org.tensorflow.framework.SaveSliceInfoDefOrBuilder
-
Offset of this variable into the full variable.
- getVarOffsetList() - 类 中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Offset of this variable into the full variable.
- getVarOffsetList() - 类 中的方法org.tensorflow.framework.SaveSliceInfoDef
-
Offset of this variable into the full variable.
- getVarOffsetList() - 接口 中的方法org.tensorflow.framework.SaveSliceInfoDefOrBuilder
-
Offset of this variable into the full variable.
- getVarShape(int) - 类 中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Shape of this variable.
- getVarShape(int) - 类 中的方法org.tensorflow.framework.SaveSliceInfoDef
-
Shape of this variable.
- getVarShape(int) - 接口 中的方法org.tensorflow.framework.SaveSliceInfoDefOrBuilder
-
Shape of this variable.
- getVarShapeCount() - 类 中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Shape of this variable.
- getVarShapeCount() - 类 中的方法org.tensorflow.framework.SaveSliceInfoDef
-
Shape of this variable.
- getVarShapeCount() - 接口 中的方法org.tensorflow.framework.SaveSliceInfoDefOrBuilder
-
Shape of this variable.
- getVarShapeList() - 类 中的方法org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Shape of this variable.
- getVarShapeList() - 类 中的方法org.tensorflow.framework.SaveSliceInfoDef
-
Shape of this variable.
- getVarShapeList() - 接口 中的方法org.tensorflow.framework.SaveSliceInfoDefOrBuilder
-
Shape of this variable.
- getVendor() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Vendor (Intel, nvidia, ...)
- getVendor() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties
-
Vendor (Intel, nvidia, ...)
- getVendor() - 接口 中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
Vendor (Intel, nvidia, ...)
- getVendorBytes() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
-
Vendor (Intel, nvidia, ...)
- getVendorBytes() - 类 中的方法tensorflow.DevicePropertiesProtos.DeviceProperties
-
Vendor (Intel, nvidia, ...)
- getVendorBytes() - 接口 中的方法tensorflow.DevicePropertiesProtos.DevicePropertiesOrBuilder
-
Vendor (Intel, nvidia, ...)
- getVersion() - 类 中的方法org.tensorflow.framework.GraphDef.Builder
-
已过时。
- getVersion() - 类 中的方法org.tensorflow.framework.GraphDef
-
已过时。
- getVersion() - 接口 中的方法org.tensorflow.framework.GraphDefOrBuilder
-
已过时。
- getVersion() - 类 中的方法org.tensorflow.framework.OpDeprecation.Builder
-
First GraphDef version at which the op is disallowed.
- getVersion() - 类 中的方法org.tensorflow.framework.OpDeprecation
-
First GraphDef version at which the op is disallowed.
- getVersion() - 接口 中的方法org.tensorflow.framework.OpDeprecationOrBuilder
-
First GraphDef version at which the op is disallowed.
- getVersion() - 类 中的方法org.tensorflow.util.BundleHeaderProto.Builder
-
Versioning of the tensor bundle format.
- getVersion() - 类 中的方法org.tensorflow.util.BundleHeaderProto
-
Versioning of the tensor bundle format.
- getVersion() - 接口 中的方法org.tensorflow.util.BundleHeaderProtoOrBuilder
-
Versioning of the tensor bundle format.
- getVersion() - 类 中的方法org.tensorflow.util.IteratorStateMetadata.Builder
-
A user-specified version string.
- getVersion() - 类 中的方法org.tensorflow.util.IteratorStateMetadata
-
A user-specified version string.
- getVersion() - 接口 中的方法org.tensorflow.util.IteratorStateMetadataOrBuilder
-
A user-specified version string.
- getVersion() - 类 中的方法org.tensorflow.util.SaverDef.Builder
-
.tensorflow.SaverDef.CheckpointFormatVersion version = 7;
- getVersion() - 类 中的方法org.tensorflow.util.SaverDef
-
.tensorflow.SaverDef.CheckpointFormatVersion version = 7;
- getVersion() - 接口 中的方法org.tensorflow.util.SaverDefOrBuilder
-
.tensorflow.SaverDef.CheckpointFormatVersion version = 7;
- getVersion() - 类 中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus.Builder
-
Model version.
- getVersion() - 类 中的方法tensorflow.serving.GetModelStatus.ModelVersionStatus
-
Model version.
- getVersion() - 接口 中的方法tensorflow.serving.GetModelStatus.ModelVersionStatusOrBuilder
-
Model version.
- getVersion() - 类 中的方法tensorflow.serving.Model.ModelSpec.Builder
-
Use this specific version number.
- getVersion() - 类 中的方法tensorflow.serving.Model.ModelSpec
-
Use this specific version number.
- getVersion() - 接口 中的方法tensorflow.serving.Model.ModelSpecOrBuilder
-
Use this specific version number.
- getVersionBuilder() - 类 中的方法org.tensorflow.util.BundleHeaderProto.Builder
-
Versioning of the tensor bundle format.
- getVersionBuilder() - 类 中的方法tensorflow.serving.Model.ModelSpec.Builder
-
Use this specific version number.
- getVersionBytes() - 类 中的方法org.tensorflow.util.IteratorStateMetadata.Builder
-
A user-specified version string.
- getVersionBytes() - 类 中的方法org.tensorflow.util.IteratorStateMetadata
-
A user-specified version string.
- getVersionBytes() - 接口 中的方法org.tensorflow.util.IteratorStateMetadataOrBuilder
-
A user-specified version string.
- getVersionChoiceCase() - 类 中的方法tensorflow.serving.Model.ModelSpec.Builder
-
- getVersionChoiceCase() - 类 中的方法tensorflow.serving.Model.ModelSpec
-
- getVersionChoiceCase() - 接口 中的方法tensorflow.serving.Model.ModelSpecOrBuilder
-
- getVersionDef() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
-
This is the version for all the ops that will be enqueued by the client.
- getVersionDef() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
-
This is the version for all the ops that will be enqueued by the client.
- getVersionDef() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequestOrBuilder
-
This is the version for all the ops that will be enqueued by the client.
- getVersionDefBuilder() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
-
This is the version for all the ops that will be enqueued by the client.
- getVersionDefOrBuilder() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
-
This is the version for all the ops that will be enqueued by the client.
- getVersionDefOrBuilder() - 类 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
-
This is the version for all the ops that will be enqueued by the client.
- getVersionDefOrBuilder() - 接口 中的方法tensorflow.eager.EagerServiceOuterClass.CreateContextRequestOrBuilder
-
This is the version for all the ops that will be enqueued by the client.
- getVersionLabel() - 类 中的方法tensorflow.serving.Model.ModelSpec.Builder
-
Use the version associated with the given label.
- getVersionLabel() - 类 中的方法tensorflow.serving.Model.ModelSpec
-
Use the version associated with the given label.
- getVersionLabel() - 接口 中的方法tensorflow.serving.Model.ModelSpecOrBuilder
-
Use the version associated with the given label.
- getVersionLabelBytes() - 类 中的方法tensorflow.serving.Model.ModelSpec.Builder
-
Use the version associated with the given label.
- getVersionLabelBytes() - 类 中的方法tensorflow.serving.Model.ModelSpec
-
Use the version associated with the given label.
- getVersionLabelBytes() - 接口 中的方法tensorflow.serving.Model.ModelSpecOrBuilder
-
Use the version associated with the given label.
- getVersionNum() - 类 中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder
-
int64 version_num = 2;
- getVersionNum() - 类 中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
-
int64 version_num = 2;
- getVersionNum() - 接口 中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfigOrBuilder
-
int64 version_num = 2;
- getVersionNumber() - 类 中的方法org.tensorflow.framework.TensorProto.Builder
-
Version number.
- getVersionNumber() - 类 中的方法org.tensorflow.framework.TensorProto
-
Version number.
- getVersionNumber() - 接口 中的方法org.tensorflow.framework.TensorProtoOrBuilder
-
Version number.
- getVersionOrBuilder() - 类 中的方法org.tensorflow.util.BundleHeaderProto.Builder
-
Versioning of the tensor bundle format.
- getVersionOrBuilder() - 类 中的方法org.tensorflow.util.BundleHeaderProto
-
Versioning of the tensor bundle format.
- getVersionOrBuilder() - 接口 中的方法org.tensorflow.util.BundleHeaderProtoOrBuilder
-
Versioning of the tensor bundle format.
- getVersionOrBuilder() - 类 中的方法tensorflow.serving.Model.ModelSpec.Builder
-
Use this specific version number.
- getVersionOrBuilder() - 类 中的方法tensorflow.serving.Model.ModelSpec
-
Use this specific version number.
- getVersionOrBuilder() - 接口 中的方法tensorflow.serving.Model.ModelSpecOrBuilder
-
Use this specific version number.
- getVersionPath() - 类 中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder
-
string version_path = 3;
- getVersionPath() - 类 中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
-
string version_path = 3;
- getVersionPath() - 接口 中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfigOrBuilder
-
string version_path = 3;
- getVersionPathBytes() - 类 中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig.Builder
-
string version_path = 3;
- getVersionPathBytes() - 类 中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfig
-
string version_path = 3;
- getVersionPathBytes() - 接口 中的方法tensorflow.serving.StaticStoragePathSource.StaticStoragePathSourceConfigOrBuilder
-
string version_path = 3;
- getVersions() - 类 中的方法org.tensorflow.framework.GraphDef.Builder
-
Compatibility versions of the graph.
- getVersions() - 类 中的方法org.tensorflow.framework.GraphDef
-
Compatibility versions of the graph.
- getVersions() - 接口 中的方法org.tensorflow.framework.GraphDefOrBuilder
-
Compatibility versions of the graph.
- getVersions(int) - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific.Builder
-
The version numbers to serve.
- getVersions(int) - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific
-
The version numbers to serve.
- getVersions(int) - 接口 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.SpecificOrBuilder
-
The version numbers to serve.
- getVersionsBuilder() - 类 中的方法org.tensorflow.framework.GraphDef.Builder
-
Compatibility versions of the graph.
- getVersionsCount() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific.Builder
-
The version numbers to serve.
- getVersionsCount() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific
-
The version numbers to serve.
- getVersionsCount() - 接口 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.SpecificOrBuilder
-
The version numbers to serve.
- getVersionsList() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific.Builder
-
The version numbers to serve.
- getVersionsList() - 类 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.Specific
-
The version numbers to serve.
- getVersionsList() - 接口 中的方法tensorflow.serving.FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy.SpecificOrBuilder
-
The version numbers to serve.
- getVersionsOrBuilder() - 类 中的方法org.tensorflow.framework.GraphDef.Builder
-
Compatibility versions of the graph.
- getVersionsOrBuilder() - 类 中的方法org.tensorflow.framework.GraphDef
-
Compatibility versions of the graph.
- getVersionsOrBuilder() - 接口 中的方法org.tensorflow.framework.GraphDefOrBuilder
-
Compatibility versions of the graph.
- getVersionValue() - 类 中的方法org.tensorflow.util.SaverDef.Builder
-
.tensorflow.SaverDef.CheckpointFormatVersion version = 7;
- getVersionValue() - 类 中的方法org.tensorflow.util.SaverDef
-
.tensorflow.SaverDef.CheckpointFormatVersion version = 7;
- getVersionValue() - 接口 中的方法org.tensorflow.util.SaverDefOrBuilder
-
.tensorflow.SaverDef.CheckpointFormatVersion version = 7;
- getVirtualDevices(int) - 类 中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder
-
The multi virtual device settings.
- getVirtualDevices(int) - 类 中的方法org.tensorflow.framework.GPUOptions.Experimental
-
The multi virtual device settings.
- getVirtualDevices(int) - 接口 中的方法org.tensorflow.framework.GPUOptions.ExperimentalOrBuilder
-
The multi virtual device settings.
- getVirtualDevicesBuilder(int) - 类 中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder
-
The multi virtual device settings.
- getVirtualDevicesBuilderList() - 类 中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder
-
The multi virtual device settings.
- getVirtualDevicesCount() - 类 中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder
-
The multi virtual device settings.
- getVirtualDevicesCount() - 类 中的方法org.tensorflow.framework.GPUOptions.Experimental
-
The multi virtual device settings.
- getVirtualDevicesCount() - 接口 中的方法org.tensorflow.framework.GPUOptions.ExperimentalOrBuilder
-
The multi virtual device settings.
- getVirtualDevicesList() - 类 中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder
-
The multi virtual device settings.
- getVirtualDevicesList() - 类 中的方法org.tensorflow.framework.GPUOptions.Experimental
-
The multi virtual device settings.
- getVirtualDevicesList() - 接口 中的方法org.tensorflow.framework.GPUOptions.ExperimentalOrBuilder
-
The multi virtual device settings.
- getVirtualDevicesOrBuilder(int) - 类 中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder
-
The multi virtual device settings.
- getVirtualDevicesOrBuilder(int) - 类 中的方法org.tensorflow.framework.GPUOptions.Experimental
-
The multi virtual device settings.
- getVirtualDevicesOrBuilder(int) - 接口 中的方法org.tensorflow.framework.GPUOptions.ExperimentalOrBuilder
-
The multi virtual device settings.
- getVirtualDevicesOrBuilderList() - 类 中的方法org.tensorflow.framework.GPUOptions.Experimental.Builder
-
The multi virtual device settings.
- getVirtualDevicesOrBuilderList() - 类 中的方法org.tensorflow.framework.GPUOptions.Experimental
-
The multi virtual device settings.
- getVirtualDevicesOrBuilderList() - 接口 中的方法org.tensorflow.framework.GPUOptions.ExperimentalOrBuilder
-
The multi virtual device settings.
- getVisibility() - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
.tensorflow.ApiDef.Visibility visibility = 2;
- getVisibility() - 类 中的方法org.tensorflow.framework.ApiDef
-
.tensorflow.ApiDef.Visibility visibility = 2;
- getVisibility() - 接口 中的方法org.tensorflow.framework.ApiDefOrBuilder
-
.tensorflow.ApiDef.Visibility visibility = 2;
- getVisibilityValue() - 类 中的方法org.tensorflow.framework.ApiDef.Builder
-
.tensorflow.ApiDef.Visibility visibility = 2;
- getVisibilityValue() - 类 中的方法org.tensorflow.framework.ApiDef
-
.tensorflow.ApiDef.Visibility visibility = 2;
- getVisibilityValue() - 接口 中的方法org.tensorflow.framework.ApiDefOrBuilder
-
.tensorflow.ApiDef.Visibility visibility = 2;
- getVisibleDeviceList() - 类 中的方法org.tensorflow.framework.GPUOptions.Builder
-
A comma-separated list of GPU ids that determines the 'visible'
to 'virtual' mapping of GPU devices.
- getVisibleDeviceList() - 类 中的方法org.tensorflow.framework.GPUOptions
-
A comma-separated list of GPU ids that determines the 'visible'
to 'virtual' mapping of GPU devices.
- getVisibleDeviceList() - 接口 中的方法org.tensorflow.framework.GPUOptionsOrBuilder
-
A comma-separated list of GPU ids that determines the 'visible'
to 'virtual' mapping of GPU devices.
- getVisibleDeviceListBytes() - 类 中的方法org.tensorflow.framework.GPUOptions.Builder
-
A comma-separated list of GPU ids that determines the 'visible'
to 'virtual' mapping of GPU devices.
- getVisibleDeviceListBytes() - 类 中的方法org.tensorflow.framework.GPUOptions
-
A comma-separated list of GPU ids that determines the 'visible'
to 'virtual' mapping of GPU devices.
- getVisibleDeviceListBytes() - 接口 中的方法org.tensorflow.framework.GPUOptionsOrBuilder
-
A comma-separated list of GPU ids that determines the 'visible'
to 'virtual' mapping of GPU devices.
- getWaitQueueDoneMethod() - 类 中的静态方法tensorflow.eager.EagerServiceGrpc
-
- getWhileCtxt() - 类 中的方法org.tensorflow.framework.ControlFlowContextDef.Builder
-
.tensorflow.WhileContextDef while_ctxt = 2;
- getWhileCtxt() - 类 中的方法org.tensorflow.framework.ControlFlowContextDef
-
.tensorflow.WhileContextDef while_ctxt = 2;
- getWhileCtxt() - 接口 中的方法org.tensorflow.framework.ControlFlowContextDefOrBuilder
-
.tensorflow.WhileContextDef while_ctxt = 2;
- getWhileCtxtBuilder() - 类 中的方法org.tensorflow.framework.ControlFlowContextDef.Builder
-
.tensorflow.WhileContextDef while_ctxt = 2;
- getWhileCtxtOrBuilder() - 类 中的方法org.tensorflow.framework.ControlFlowContextDef.Builder
-
.tensorflow.WhileContextDef while_ctxt = 2;
- getWhileCtxtOrBuilder() - 类 中的方法org.tensorflow.framework.ControlFlowContextDef
-
.tensorflow.WhileContextDef while_ctxt = 2;
- getWhileCtxtOrBuilder() - 接口 中的方法org.tensorflow.framework.ControlFlowContextDefOrBuilder
-
.tensorflow.WhileContextDef while_ctxt = 2;
- getWidth() - 类 中的方法org.tensorflow.framework.Summary.Image.Builder
-
int32 width = 2;
- getWidth() - 类 中的方法org.tensorflow.framework.Summary.Image
-
int32 width = 2;
- getWidth() - 接口 中的方法org.tensorflow.framework.Summary.ImageOrBuilder
-
int32 width = 2;
- getWorkFinished() - 类 中的方法org.tensorflow.framework.ReaderBaseState.Builder
-
int64 work_finished = 2;
- getWorkFinished() - 类 中的方法org.tensorflow.framework.ReaderBaseState
-
int64 work_finished = 2;
- getWorkFinished() - 接口 中的方法org.tensorflow.framework.ReaderBaseStateOrBuilder
-
int64 work_finished = 2;
- getWorkStarted() - 类 中的方法org.tensorflow.framework.ReaderBaseState.Builder
-
int64 work_started = 1;
- getWorkStarted() - 类 中的方法org.tensorflow.framework.ReaderBaseState
-
int64 work_started = 1;
- getWorkStarted() - 接口 中的方法org.tensorflow.framework.ReaderBaseStateOrBuilder
-
int64 work_started = 1;
- GLOBAL_JIT_LEVEL_FIELD_NUMBER - 类 中的静态变量org.tensorflow.framework.OptimizerOptions
-
- GLOBAL_NAME_FIELD_NUMBER - 类 中的静态变量org.tensorflow.framework.ThreadPoolOptionProto
-
- GLOBAL_STEP_FIELD_NUMBER - 类 中的静态变量org.tensorflow.framework.DebugOptions
-
- GPU_OPTIONS_FIELD_NUMBER - 类 中的静态变量org.tensorflow.framework.ConfigProto
-
- GPUOptions - org.tensorflow.framework中的类
-
Protobuf type tensorflow.GPUOptions
- GPUOptions.Builder - org.tensorflow.framework中的类
-
Protobuf type tensorflow.GPUOptions
- GPUOptions.Experimental - org.tensorflow.framework中的类
-
Protobuf type tensorflow.GPUOptions.Experimental
- GPUOptions.Experimental.Builder - org.tensorflow.framework中的类
-
Protobuf type tensorflow.GPUOptions.Experimental
- GPUOptions.Experimental.VirtualDevices - org.tensorflow.framework中的类
-
Configuration for breaking down a visible GPU into multiple "virtual"
devices.
- GPUOptions.Experimental.VirtualDevices.Builder - org.tensorflow.framework中的类
-
Configuration for breaking down a visible GPU into multiple "virtual"
devices.
- GPUOptions.Experimental.VirtualDevicesOrBuilder - org.tensorflow.framework中的接口
-
- GPUOptions.ExperimentalOrBuilder - org.tensorflow.framework中的接口
-
- GPUOptionsOrBuilder - org.tensorflow.framework中的接口
-
- GRADIENT_FIELD_NUMBER - 类 中的静态变量org.tensorflow.framework.FunctionDefLibrary
-
- GRADIENT_FUNC_FIELD_NUMBER - 类 中的静态变量org.tensorflow.framework.GradientDef
-
- GradientDef - org.tensorflow.framework中的类
-
GradientDef defines the gradient function of a function defined in
a function library.
- GradientDef.Builder - org.tensorflow.framework中的类
-
GradientDef defines the gradient function of a function defined in
a function library.
- GradientDefOrBuilder - org.tensorflow.framework中的接口
-
- GRAPH_DEF_FIELD_NUMBER - 类 中的静态变量org.tensorflow.distruntime.CreateSessionRequest
-
- GRAPH_DEF_FIELD_NUMBER - 类 中的静态变量org.tensorflow.distruntime.ExtendSessionRequest
-
- GRAPH_DEF_FIELD_NUMBER - 类 中的静态变量org.tensorflow.distruntime.RegisterGraphRequest
-
- GRAPH_DEF_FIELD_NUMBER - 类 中的静态变量org.tensorflow.framework.MetaGraphDef
-
- GRAPH_HANDLE_FIELD_NUMBER - 类 中的静态变量org.tensorflow.distruntime.DeregisterGraphRequest
-
- GRAPH_HANDLE_FIELD_NUMBER - 类 中的静态变量org.tensorflow.distruntime.RegisterGraphResponse
-
- GRAPH_HANDLE_FIELD_NUMBER - 类 中的静态变量org.tensorflow.distruntime.RunGraphRequest
-
- GRAPH_INPUT_NODE_INFO_FIELD_NUMBER - 类 中的静态变量org.tensorflow.framework.GraphTransferInfo
-
- GRAPH_INPUT_NODE_NAME_FIELD_NUMBER - 类 中的静态变量org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
- GRAPH_KEY_FIELD_NUMBER - 类 中的静态变量org.tensorflow.distruntime.GetStepSequenceRequest
-
- GRAPH_KEY_FIELD_NUMBER - 类 中的静态变量org.tensorflow.distruntime.StepSequence
-
- GRAPH_OP_NAME_FIELD_NUMBER - 类 中的静态变量org.tensorflow.framework.ApiDef
-
- GRAPH_OPTIONS_FIELD_NUMBER - 类 中的静态变量org.tensorflow.distruntime.RegisterGraphRequest
-
- GRAPH_OPTIONS_FIELD_NUMBER - 类 中的静态变量org.tensorflow.framework.ConfigProto
-
- GRAPH_OUTPUT_NODE_INFO_FIELD_NUMBER - 类 中的静态变量org.tensorflow.framework.GraphTransferInfo
-
- GRAPH_OUTPUT_NODE_NAME_FIELD_NUMBER - 类 中的静态变量org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
- GRAPH_VERSION_FIELD_NUMBER - 类 中的静态变量org.tensorflow.distruntime.CreateSessionResponse
-
- GraphDef - org.tensorflow.framework中的类
-
Represents the graph of operations
Protobuf type tensorflow.GraphDef
- GraphDef.Builder - org.tensorflow.framework中的类
-
Represents the graph of operations
Protobuf type tensorflow.GraphDef
- GraphDefOrBuilder - org.tensorflow.framework中的接口
-
- GraphOptions - org.tensorflow.framework中的类
-
Protobuf type tensorflow.GraphOptions
- GraphOptions.Builder - org.tensorflow.framework中的类
-
Protobuf type tensorflow.GraphOptions
- GraphOptionsOrBuilder - org.tensorflow.framework中的接口
-
- GraphProtos - org.tensorflow.framework中的类
-
- GraphTransferConstNodeInfo - org.tensorflow.framework中的类
-
Protobuf type tensorflow.GraphTransferConstNodeInfo
- GraphTransferConstNodeInfo.Builder - org.tensorflow.framework中的类
-
Protobuf type tensorflow.GraphTransferConstNodeInfo
- GraphTransferConstNodeInfoOrBuilder - org.tensorflow.framework中的接口
-
- GraphTransferGraphInputNodeInfo - org.tensorflow.framework中的类
-
Protobuf type tensorflow.GraphTransferGraphInputNodeInfo
- GraphTransferGraphInputNodeInfo.Builder - org.tensorflow.framework中的类
-
Protobuf type tensorflow.GraphTransferGraphInputNodeInfo
- GraphTransferGraphInputNodeInfoOrBuilder - org.tensorflow.framework中的接口
-
- GraphTransferGraphOutputNodeInfo - org.tensorflow.framework中的类
-
Protobuf type tensorflow.GraphTransferGraphOutputNodeInfo
- GraphTransferGraphOutputNodeInfo.Builder - org.tensorflow.framework中的类
-
Protobuf type tensorflow.GraphTransferGraphOutputNodeInfo
- GraphTransferGraphOutputNodeInfoOrBuilder - org.tensorflow.framework中的接口
-
- GraphTransferInfo - org.tensorflow.framework中的类
-
Protocol buffer representing a handle to a tensorflow resource.
- GraphTransferInfo.Builder - org.tensorflow.framework中的类
-
Protocol buffer representing a handle to a tensorflow resource.
- GraphTransferInfo.Destination - org.tensorflow.framework中的枚举
-
Protobuf enum tensorflow.GraphTransferInfo.Destination
- GraphTransferInfoOrBuilder - org.tensorflow.framework中的接口
-
- GraphTransferInfoProto - org.tensorflow.framework中的类
-
- GraphTransferNodeInfo - org.tensorflow.framework中的类
-
Protobuf type tensorflow.GraphTransferNodeInfo
- GraphTransferNodeInfo.Builder - org.tensorflow.framework中的类
-
Protobuf type tensorflow.GraphTransferNodeInfo
- GraphTransferNodeInfoOrBuilder - org.tensorflow.framework中的接口
-
- GraphTransferNodeInput - org.tensorflow.framework中的类
-
Protobuf type tensorflow.GraphTransferNodeInput
- GraphTransferNodeInput.Builder - org.tensorflow.framework中的类
-
Protobuf type tensorflow.GraphTransferNodeInput
- GraphTransferNodeInputInfo - org.tensorflow.framework中的类
-
Protobuf type tensorflow.GraphTransferNodeInputInfo
- GraphTransferNodeInputInfo.Builder - org.tensorflow.framework中的类
-
Protobuf type tensorflow.GraphTransferNodeInputInfo
- GraphTransferNodeInputInfoOrBuilder - org.tensorflow.framework中的接口
-
- GraphTransferNodeInputOrBuilder - org.tensorflow.framework中的接口
-
- GraphTransferNodeOutputInfo - org.tensorflow.framework中的类
-
Protobuf type tensorflow.GraphTransferNodeOutputInfo
- GraphTransferNodeOutputInfo.Builder - org.tensorflow.framework中的类
-
Protobuf type tensorflow.GraphTransferNodeOutputInfo
- GraphTransferNodeOutputInfoOrBuilder - org.tensorflow.framework中的接口
-
- GROUP_KEY_FIELD_NUMBER - 类 中的静态变量org.tensorflow.distruntime.CompleteGroupRequest
-
- GROUP_KEY_FIELD_NUMBER - 类 中的静态变量org.tensorflow.distruntime.CompleteGroupResponse
-
- GROUP_KEY_FIELD_NUMBER - 类 中的静态变量org.tensorflow.distruntime.CompleteInstanceRequest
-
- GROUP_SIZE_FIELD_NUMBER - 类 中的静态变量org.tensorflow.distruntime.CompleteGroupRequest
-
- GROUP_SIZE_FIELD_NUMBER - 类 中的静态变量org.tensorflow.distruntime.CompleteGroupResponse
-
- GROUP_SIZE_FIELD_NUMBER - 类 中的静态变量org.tensorflow.distruntime.CompleteInstanceRequest
-